Search tips
Search criteria 


Logo of plosonePLoS OneView this ArticleSubmit to PLoSGet E-mail AlertsContact UsPublic Library of Science (PLoS)
PLoS One. 2011; 6(4): e18552.
Published online 2011 April 14. doi:  10.1371/journal.pone.0018552
PMCID: PMC3077378

Multifaceted Intervention by the Hsp90 Inhibitor Ganetespib (STA-9090) in Cancer Cells with Activated JAK/STAT Signaling

Olivier Gires, Editor


There is accumulating evidence that dysregulated JAK signaling occurs in a wide variety of cancer types. In particular, mutations in JAK2 can result in the constitutive activation of STAT transcription factors and lead to oncogenic growth. JAK kinases are established Hsp90 client proteins and here we show that the novel small molecule Hsp90 inhibitor ganetespib (formerly STA-9090) exhibits potent in vitro and in vivo activity in a range of solid and hematological tumor cells that are dependent on JAK2 activity for growth and survival. Of note, ganetespib treatment results in sustained depletion of JAK2, including the constitutively active JAK2V617F mutant, with subsequent loss of STAT activity and reduced STAT-target gene expression. In contrast, treatment with the pan-JAK inhibitor P6 results in only transient effects on these processes. Further differentiating these modes of intervention, RNA and protein expression studies show that ganetespib additionally modulates cell cycle regulatory proteins, while P6 does not. The concomitant impact of ganetespib on both cell growth and cell division signaling translates to potent antitumor efficacy in mouse models of xenografts and disseminated JAK/STAT-driven leukemia. Overall, our findings support Hsp90 inhibition as a novel therapeutic approach for combating diseases dependent on JAK/STAT signaling, with the multimodal action of ganetespib demonstrating advantages over JAK-specific inhibitors.


JAK2 is a ubiquitously expressed member of the Janus-associated kinase (JAK) family of non-receptor tyrosine kinases which function to mediate signaling downstream of cytokine and growth factor receptors [1]. Inappropriate activation of JAK signaling underlies cell proliferation and survival in a variety of solid tumors [2], [3] and hematological neoplasms [4]. In particular, an activating point mutation in JAK2 (JAK2V617F) has been described with high frequency in chronic myeloproliferative disorders (MPD) [5], [6], [7], [8], [9], [10] and constitutive JAK2 activation caused by chromosomal translocations has been reported in various types of leukemia [11], [12], [13].

Activated cytokine-JAK complexes recruit and phosphorylate effector molecules including Signal Transducers and Activators of Transcription (STAT) proteins [14]. STAT proteins mediate a wide range of biological processes, including cell growth, differentiation, apoptosis, inflammation and immune response [15]. Two STATs in particular, STAT3 and STAT5, represent the major substrates for JAK2 that govern myelopoeisis [16], [17] and can contribute to cellular transformation [18], [19]. Their persistent activation has been linked to increased tumor cell proliferation, survival, metastasis and tumor-promoting inflammation in both solid and hematological tumors [20]. Accordingly, inhibiting this signaling axis by the use of specific small molecule inhibitors of JAK2 has recently been investigated as a point of therapeutic intervention in multiple human tumor indications [3], [21], [22], [23], [24].

Heat shock protein 90 (Hsp90) is a molecular chaperone required for the post-translational stability of its protein substrates or “client proteins”. Cancer cells contain elevated levels of active Hsp90 [25] and, because many client proteins play critical oncogenic roles, cancer cells are particularly sensitive to Hsp90 inhibition. Moreover, a unique characteristic of targeting Hsp90 is that inhibition results in the simultaneous blockade of multiple oncogenic signaling cascades, overcoming potential pathway redundancies, and sensitizing cancer cells to chemotherapeutic agents [26], [27], [28], [29]. Thus, Hsp90 represents an attractive molecular target for the development of novel cancer therapeutics [28], [30], [31]. Of relevance here, JAK kinases are established Hsp90 clients suggesting that Hsp90 inhibition may be effective in treating JAK-directed neoplastic disorders [32], [33].

To test this hypothesis, we have employed the synthetic small molecule inhibitor ganetespib (STA-9090), a resorcinol-containing compound unrelated to geldanamycin, that binds in the ATP-binding domain of Hsp90. In preclinical studies, the drug has shown low nanomolar activity in vitro against a variety of human cancer cell lines and potent antitumor efficacy against human xenograft models [34], [35]. Ganetespib is currently in clinical trials for both solid tumor and hematological malignancies. Here we show that ganetespib potently induces apoptosis in a variety of tumor lines dependent on persistent JAK/STAT signaling for growth and survival. We further demonstrate that the drug also alters many elements of cell cycle regulation in cancer cells, an activity absent from a JAK-specific inhibitor. In vivo, ganetespib's coordinate impact on both cell growth and cell division results in potent antitumor activity in JAK/STAT-driven models of human leukemia. Thus, inhibition of Hsp90 activity represents a promising approach for combating diseases dependent on constitutive JAK/STAT signaling, with ganetespib demonstrating potential therapeutic advantages over JAK-specific inhibitors.


Ganetespib inhibits JAK2-mediated signal transduction and proliferation in hematological cancers

With low nanomolar potency, ganetespib reduced cellular viability in a group of human hematological and solid tumor cell lines selected for their dependence on JAK/STAT signaling and varying cancer type (Fig. 1A). In each of the lines tested, ganetespib was more potent than the ansamycin Hsp90 inhibitor 17-AAG. Of note, ganetespib was greater than 100 fold more potent than 17-AAG in the SET-2 and HEL92.1.7 leukemia cells, cell lines harboring constitutively active JAK2V617F mutations that act as their oncogenic drivers.

Figure 1
Effects of ganetespib on tumor cell viability.

Using the HEL92.1.7 cells, we compared the JAK/STAT inhibitory activity of ganetespib to the compound Pyridone-6 (P6) [36], a reversible, ATP-competitive pan inhibitor of the JAKs (Fig. 1B). Ganetespib and P6 each blocked JAK2 dependent signaling, as evidenced by the loss of phospho-STAT3 and phospho-STAT5, and ERK signaling. However, ganetespib was at least four fold more potent and suppressed STAT signaling longer compared to P6. Ganetespib treatment alone led to the targeted, proteasome-dependent (data not shown) loss of JAK2 and phospho-AKT protein levels (Fig. 1B), both Hsp90 client proteins. Thus, ganetespib treatment results in sustained inhibition of multiple oncogenic targets in these cellular models of JAK2-driven malignancy. Similar effects on JAK/STAT signaling were seen with SET-2 cells, where 50 nM ganetespib was able to destabilize JAK2 sufficiently to result in loss of activated (i.e., phosphorylated) STAT3 and STAT5 expression (Fig. 1C). 17-AAG showed comparable effects as ganetespib but was 200 fold less potent, in line with the viability data described above. Taken together, these data demonstrate that ganetespib possesses superior JAK/STAT inhibitory activity to both P6 and 17-AAG in terms of potency or duration of response.

Ganetespib abrogates JAK/STAT signaling in solid tumors

In addition to its incidence in hematologic malignancies, oncogenic STAT activation is also prevalent in a range of solid tumors. For example, persistently activated STAT3 is found in 50% of lung adenocarcinomas and is primarily observed in tumors harboring mutations in the epidermal growth factor receptor (EGFR) [37], [38]. The NCI-H1975 non-small cell lung cancer (NSCLC) cell line expresses the Hsp90 client EGFRL858R/T790M, a constitutively activated and erlotinib-resistant form of EGFR, and ganetespib treatment resulted in a dose-dependent decrease in EGFR expression in these cells (Fig. 2A). Moreover, ganetespib also induced potent degradation of JAK2 and loss of phosphorylated STAT3 in a dose-dependent manner. Inactivation of AKT and GSK3β, proteins important in regulating apoptosis, was observed with a similar dose response to that of JAK2/STAT3 signaling. Recently it was shown that JAK2 can modulate the activity of additional apoptotic regulators such as BAD and BCL-XL to promote cell survival [21]. Consistent with this, we detected a concomitant reduction in the levels of phosphorylated BAD (Fig. 2A), thus reducing the pro-apoptotic activity of this protein. These data suggest a potential mechanism to account for the cytotoxic response observed with ganetespib treatment (Fig. 1A).

Figure 2
Inhibition of JAK2/STAT signaling by ganetespib in solid tumors.

The JAK/STAT signaling axis is a key modulator of cytokine signaling and one proposed mechanism for aberrant STAT3 activation in lung cancer involves the upregulation of autocrine and/or paracrine IL-6 signaling [2]. Therefore, we investigated whether ganetespib could inhibit this signaling in NSCLC cells. In the absence of external ligand, HCC827 cells treated with ganetespib exhibited a dose-dependent decrease in JAK2 expression, leading to a loss of STAT3 activity and expression of the downstream STAT target PIM2 (Fig. 2B). Biochemical inhibition of JAK2 by P6, albeit at higher concentrations, similarly down-regulated constitutive STAT3 activity but did not influence total JAK2 protein levels. Similarly, both compounds blocked JAK/STAT signaling stimulation when the pathway was activated by exogenous IL-6 treatments (Fig. 2B).

Dysregulated IL-6/JAK2 signaling has also been implicated in prostate cancer tumorigenesis [39], [40]. The DU145 prostate cancer cell line expresses an autocrine IL-6 signaling loop [41] and was recently reported to be sensitive to the effects of a novel small molecule JAK2 inhibitor in vitro and in vivo [3], [41]. Ganetespib was a potent inducer of cell death in this line (Fig. 1A). Biochemical characterization of DU145 cells revealed similar inhibitory effects on JAK2 signaling following ganetespib treatment (Fig. 2C). Loss of JAK2, phospho-STAT3 and phospho-SHP2, a JAK2 interacting phosphatase important for JAK2 signal transduction, was observed following addition of ganetespib. Interestingly, the related JAK1 kinase expressed in this cell line was not targeted for degradation but instead appeared to increase following ganetespib exposure (Fig. 2D). Similar results were obtained for the PC-3 prostate cancer cell line (data not shown). These data show that selective degradation of JAK2 in DU145 prostate cells was sufficient to abrogate subsequent activation of STAT3 signaling.

Hsp90 inhibition downregulates transcription of JAK/STAT signaling targets and cell cycle genes

In HEL92.1.7 erythroleukemia cells, biochemical inhibition of JAK2 by P6 treatment resulted in a loss of cellular viability, but with 30 fold less potency than ganetespib (IC50 values 600 vs. 20 nM) (Fig. 3A). To compare the cellular impact of each inhibitor, we first identified conditions under which JAK2 activity was reduced to equivalent levels by each drug based on their kinetic and potency differences. As illustrated in Figure 3B, the 4 hour P6 (1000 nM) and 24 hour ganetespib (250 nM) treatments were selected because of comparable effects on STAT3/5 signaling. RNA expression profiling at these time points revealed, as expected, that many JAK/STAT target genes (such as SOCS and PIM family members) were downregulated by both drugs (Fig. S1, Table S1). However, additional genes were altered by ganetespib treatment that were unaffected in the P6-treated cells (Fig. 3 C,D). Besides leading to the expected upregulation of numerous heat shock protein genes, ganetespib treatment also selectively altered the expression of a large set of genes involved in cell cycle-related activities, including DNA replication and repair (BRCA1/2), cell cycle regulation (CDC2, CDC25), centrosome/spindle activities (BUB1/3, CENPE/M, KIF14, FAM33A), chromosome condensation (TOP2A, NCAPG), and replication (RFC3/4, MCM family) (Fig. S1). Indeed, analysis of the altered genes by hierarchical clustering and enrichment score revealed that modulators of cell division were the most prominent processes diminished by ganetespib treatment (Table 1).

Figure 3
Ganetespib inhibits JAK/STAT target and cell cycle gene expression.
Table 1
Gene groupings negatively regulated by ganetespib treatment tabulated according to hierarchical clustering and enrichment score analysis.

Modulation of cell cycle protein expression by ganetespib induces growth arrest

To extend these findings, we looked experimentally at the effects on the cell cycle. Ganetespib induced a temporal G1 and G2/M arrest in HEL92.1.7 cells, with concomitant loss of S phase (Fig. 4A). In contrast, P6 treatment induced accumulation in G1 phase only, without the loss of S phase or G2/M arrest. We also examined the targeted effects of ganetespib on critical mediators of cell cycle division at the protein level. We observed reduced protein levels of cyclin dependent kinase 1 (Cdk-1), a key regulator of the G2/M checkpoint, following a 24 hour exposure to ganetespib, an effect that persisted until at least 48 hours (Fig. 4B). In contrast, P6 had no effect on Cdk1 expression. Further, the level of phospho-Chk2, another integral checkpoint kinase, was reduced by ganetespib treatment. Similar results were found for phospho-Chk1 (data not shown). As shown in Figure 4C, the destabilization of cyclin kinases was also associated with a temporal accumulation of cyclins A1 and B1 in response to drug addition. Moreover, these effects of ganetespib on both JAK2/STAT signaling and cell cycle regulation were observed in additional cancer types, including breast (MCF-7), gastrointestinal stromal (GIST882), pancreatic (HPAF) and prostate (DU145) tumor cell lines (Fig. 4D). Overall, these additional influences on the cell division machinery suggest that ganetespib possesses decided advantages over JAK-specific inhibitors for controlling STAT-driven malignancies.

Figure 4
Ganetespib modulates cell cycle protein expression and induces growth arrest.

Ganetespib prolongs survival in a JAK2V617F-mutant mouse model of human leukemia

To determine whether these dual activities of ganetespib on JAK2/STAT signaling and cell cycle progression observed in vitro translate into antitumor efficacy in vivo, we established an orthotopic leukemia model using HEL92.1.7 cells. This resulted in disseminated disease with morbidity typically resulting from hind limb paralysis caused by spinal column metastases (data not shown). To study the effect of ganetespib on survival, beginning one day after tumor cell implantation, the drug was dosed intravenously at its highest non-severely toxic dose (HNSTD) of 25 mg/kg on a 5×/week schedule through day 19. As shown in Figure 5A, ganetespib treatment more than doubled median overall survival (76.5 days vs. 34 days, P<0.0001). The ganetespib treatment was well tolerated, with no significant loss of body weight found after 3 weeks of dosing (Fig. S2). The increased survival of the treated animals correlated with dramatically decreased tumor cell burden in their bone marrow and spinal cord, as determined by histological analysis (Fig. 5B).

Figure 5
Ganetespib is highly efficacious in vivo in a leukemia survival model expressing activated JAK2V617F.

Ganetespib exhibits potent in vivo efficacy in STAT5 driven AML xenografts

MV4-11 acute myeloid leukemia cells express constitutive STAT5 activity as a consequence of an internal tandem duplication (ITD) mutation in the FLT3 receptor tyrosine kinase, another Hsp90 client protein [42] and, as such, represent an alternative model of STAT-driven oncogenesis. These cells are highly sensitive to ganetespib in vitro (Fig. 1A) and we evaluated their dose-response to ganetespib treatments in xenografts. Ganetespib was intravenously administered to tumor-bearing SCID mice at either the daily or weekly HNSTD of 25 mg/kg or 150 mg/kg, respectively. As shown in Figure 6A, the weekly treatment schedule resulted in significant and dose-dependent tumor growth inhibition, while the daily dosing regimen (25 mg/kg 5×/week, as used in the orthotopic model above) resulted in significant tumor regression (84%). In both dosing regimens, tumor growth was suppressed for up to a week or more once treatment was discontinued. Beyond this period, as evidenced by the once-per-week treatment cohort, tumor growth could re-initiate.

Figure 6
Ganetespib efficacy and pharmacodynamics in an in vivo leukemia model with constitutively activated STAT5 signaling.

To determine whether these tumor responses correlated with target modulation in vivo, additional mice bearing MV4-11 xenografts were treated with a single dose of vehicle alone or ganetespib at 25 or 150 mg/kg. Tumors were harvested between 6 and 144 hours later and pharmacodynamic analysis was performed by examining the expression levels of phospho-STAT5, Cdk1 and Hsp70 (Fig. 6B). In accord with the in vivo tumor growth data, dose-dependent effects on the duration of target inhibition within the tumors were observed. A single 150 mg/kg dose of ganetespib repressed activation of STAT5 and suppressed expression of Cdk1 for more than three days, consistent with its efficacy in once-per-week dosing. At 25 mg/kg, potent inhibition of STAT5 activity was achieved within 6 hours as was loss of Cdk1 at 24 hours following ganetespib administration. Of note, STAT5 activity recovered in these tumors by 24 hours, while Cdk1 expression remained suppressed through at least 48 hours even with this low dose (Fig. 6B). While the relatively quick recovery of STAT5 activation should have allowed the tumor to restart growth, the more durable suppression of the cell cycle regulators appears to have kept the growth of the tumors arrested until the next drug dosing. These findings provide strong evidence that the coordinate loss of cell growth and cell division signals orchestrated by ganetespib account for the potent antitumor activity of the drug in this model.


Persistent JAK/STAT activation is oncogenic and characteristic of many human malignancies and thereby provides an attractive point of intervention for molecularly targeted therapeutics. In this study, we show that ganetespib has profound antitumor activity in an array of JAK/STAT-driven cancers and, importantly, can abrogate aberrant signaling through multiple mechanisms. Ganetespib effectively targets the upstream regulator JAK2, including the constitutively active JAK2V617F mutant, for degradation in a range of hematological and solid tumor types with subsequent prolonged loss of STAT3 and STAT5 signaling. The findings not only underscore the pathogenic role of STAT signaling in tumorigenesis, but support the potential therapeutic utility of ganetespib for a variety of human cancers. In this regard, the sustained inhibition of the JAK2/STAT signaling axis achieved by ganetespib was more effective than that seen with the pan-JAK inhibitor P6, and ganetespib was uniformly more potent than the ansamycin based Hsp90 inhibitor 17-AAG in our assays.

While JAK2 mutation is a common means to stimulate oncogenic STAT activity, perturbations in other signaling networks, such as those mediated by EGFR, IL-6/IL-6R or FLT3, can also contribute to activated STAT signaling in cancer cells [2], [43]. Our results show that Hsp90 inhibition effectively disrupts these as well, with ganetespib potently degrading EGFR and blocking both IL-6- and FLT3-mediated activation of STAT proteins. Thus, while ganetespib directly imposes its pharmacological effects on Hsp90, the downstream consequences clearly involve a substantial array of client proteins and biochemical pathways. In this manner, Hsp90 inhibition by ganetespib can be viewed as a multi-nodal modality rather than a target-specific therapeutic approach, such as that engendered by a JAK2 or other kinase inhibitor (Figure 7).

Figure 7
Multimodal activity of Hsp90 inhibition induced by ganetespib.

In further support of this, while both ganetespib and P6 alter a common set of JAK/STAT targets, only ganetespib treatment exerted concomitant effects on the cell cycle regulatory machinery. In the leukemic cell data presented, exposure to ganetespib resulted in G1 and G2/M arrest, in part through the degradation of Cdk1 and atypical accumulation of cyclins A1 and B1. Further, S phase was abrogated. In addition to genes associated with DNA replication and the cell cycle, several components of the centrosome and spindle were affected at the transcriptional level by ganetespib, in agreement with previous findings that these components are synthesized in S phase and that Hsp90 is essential for centrosome assembly [44], [45]. Importantly, this was a general response in all cells studied, as we observed similar combinatorial effects on JAK/STAT inhibition with loss of cyclin-dependent kinase activity in AML, breast, gastrointestinal stromal, pancreatic and prostate tumor types.

Ganetespib also showed potent in vivo activity. In mice with established MV4-11 (STAT5-driven) xenografts, weekly administration of ganetespib significantly inhibited tumor growth in a dose-dependent manner. Moreover, a daily dosing schedule of ganetespib was also highly effective and resulted in significant tumor regression during drug administration. In this model, tumor growth reappears about a week after the drug treatment was stopped (for the high dose, 1×/week cohort). Importantly, our pharmacodynamic analysis showed that these tumor responses correlated with the degree and duration of STAT5 and Cdk1 protein loss induced by the varying dosing regimens. The tight linkage of STAT5 down-regulation with inhibition of tumor growth six hours after drug administration at either dose indicates the quick response of this signaling pathway to the drug administration. At the 150 mg/kg dose, STAT5 signaling, but not Cdk1 expression, returned by six days. The sustained loss of Cdk1 and other cell cycle proteins presumably maintains the cell cycle arrest and prevents growth from re-occurring between doses on the weekly schedule, even in the presence of the re-emergent STAT5 activity. Similarly, Cdk1 expression was suppressed longer in comparison to STAT5 at the 25 mg/kg dose, and is likely to account for the potent activity of ganetespib on the more frequent 5×/week regimen. These data strongly suggest that ganetespib administration on either schedule was sufficient to abolish both survival and cell growth signals long enough to prevent tumor growth. Because ganetespib presumably leads to the loss of even more client proteins, its potent antitumor activity likely reflects its combined impact on these additional target proteins as well.

In a system that more accurately mimics the pathology of leukemic disease, the efficacy of ganetespib was also evaluated in a disseminated disease model using HEL92.1.7 cells. Ganetespib effectively increased survival in this orthotopic model, more than doubling the median survival time of the mice. Prolonged survival was associated with dramatically reduced tumor burden in the bone marrow, as evidenced by significantly decreased infiltration of human leukemic cells and reduced spinal column metastases. Collectively, these data are consistent with a direct effect of ganetespib on leukemic cell growth in vivo and demonstrate the potential therapeutic utility of this compound for JAK2V617F-driven malignancies.

The causal relationship between constitutive JAK2 activity and neoplasia has resulted in the development of a variety of potent and selective JAK2 small molecule inhibitors [46]. However, emerging findings of the early phase trials are revealing added complexities in targeting this kinase in patients. Selective JAK2 inhibitors have been evaluated in patients with advanced MF and have shown considerable symptomatic benefit, including decreased splenomegaly and hematological improvement [23], [24]. However, these clinical responses were not consistently associated with a reduction in JAK2V617F allelic burden [47], and patients showed benefit irrespective of the mutational status of JAK2. These findings suggest that clonal JAK2V617F-positive disease is not being fully targeted by these agents. A recent study [48] provides a possible mechanistic explanation for these observations. Their findings using a murine myeloproliferative neoplasm (MPN) model indicate that treatment with a selective JAK2 inhibitor attenuates the MPN phenotype by diminishing the myeloid progenitor population. However it had nominal effects on the JAK2V617F-positive, disease-initiating stem cells. If general, this has important implications for targeted JAK2 inhibitors as remitting rather than curative therapeutics due to the existence of a resistant reservoir of MPN-initiating cells [48]. Of particular relevance, the Hsp90 inhibitor PU-H71 was recently shown to reduce mutant allelic burden in murine MPN models [49], supporting the therapeutic rationale for Hsp90 inhibition in the treatment of JAK-driven disease due to its multifaceted impact in both cell populations.

In summary, ganetespib is a small molecule Hsp90 inhibitor with potent in vitro and in vivo activity in tumor cells harboring constitutively active JAK/STAT signaling. Due to its concomitant effects on this oncogenic signaling axis as well as cell cycle progression, ganetespib displays superior activity to both 17-AAG and the pan-JAK inhibitor P6 in terms of potency, duration of response, and pre-clinical efficacy. In light of these observations, further evaluation of the therapeutic utility of ganetespib for JAK/STAT-driven malignancies is warranted.

Materials and Methods

Cell culture

All cell lines were obtained from the ATCC (Rockville, MD, USA), with the exception of SET-2 cells which were purchased from the German Collection of Microorganisms and Cell Cultures (DSMZ, Germany). Cells were maintained and cultured according to standard techniques at 37°C in 5% (v/v) CO2 using culture medium recommended by the supplier.


Hsp90 inhibitors ganetespib and 17-AAG (both synthesized at Synta Pharmaceuticals, Inc.) and the JAK inhibitor Pyridone 6 (Calbiochem, Darmstadt, Germany) were dissolved in dimethyl sulfoxide (DMSO), aliquoted and stored at −20°C. All primary antibodies were purchased from Cell Signaling Technology (CST, Beverly, MA, USA) with the exception of JAK1 (Santa Cruz Biotechnology, Santa Cruz, CA, USA) and STAT5 (Epitomics, Burlingame, CA, USA).

Cell viability assays

Twenty-four hours after plating, cells were dosed with the indicated compound or DMSO (0.3%) for 72 h. AlamarBlue (Invitrogen, Carlsbad, CA, USA) was added (10% v/v) to the cells, and the plates incubated for 3 h and subjected to fluorescence detection in a SpectraMax Plus 384 microplate reader (Molecular Devices, Sunnyvale, CA, USA). Data were normalized to percent of control.

Western blotting

Cells were lysed with RIPA buffer (CST). Xenograft tumors (average volume of 100–200 mm3) were excised, cut in half, and flash frozen in liquid nitrogen. Each tumor fragment was lysed in 0.5 mL of lysis buffer using a FastPrep-24 homogenizer and Lysing Matrix A (MP Biomedicals, Solon, OH, USA). The lysates were clarified by centrifugation. Equal amounts of protein were resolved by SDS–PAGE and immunoblotted with indicated antibodies. The antigen-antibody complex was visualized and quantitated using an Odyssey system (LI-COR, Lincoln, NE, USA).

Affymetrix gene expression analysis

Biotinylated aRNA was generated by in vitro transcription using the Affymetrix GeneChip Expression IVT labeling kit (Affymetrix, Santa Clara, CA, USA). Fifteen micrograms of labeled aRNA were fragmented and hybridized to Affymetrix GeneChip Human Genome U133 Plus 2 arrays and scanned using a GeneChip Scanner (Affymetrix). Array data were analyzed with the Affymetrix Expression Console Software utilizing the MAS5 algorithm. In order to generate a threshold for identifying probe sets that have large differences between the treated samples [1000 nM P6 (4 h) and 250 nM ganetespib (24 h)], and their controls, data from the four control arrays (DMSO only; two at 4 h, and two at 24 h) were used to create an expression level-dependent fold-difference envelope that reflects the increasing measurement variability as expression level decreases. This envelope, used in lieu of a fixed fold-difference criteria, was formed by identifying the xth percentile expression-level difference (where x was large, typically 99.9%) at each mean expression level bin. To achieve this, data were used from the six possible comparisons from the four DMSO-only arrays. The resulting, smoothed threshold fold-difference envelope was then applied to the two compound-treated/control array pairs to identify those probe-sets that have large expression level differences between treatment and control. For hierarchical analysis, genes with greater than two fold changes in expression with 250 nM ganetespib were clustered using established algorithms in Cluster [50]. Annotation enrichment of the gene sets was performed using Database for Annotation, Visualization, and Integrated Discovery (DAVID) software [51].

Flow cytometry

HEL92.1.7 cells were plated at 0.5×106 cells/mL and treated as indicated. Cells were harvested and stained with propidium iodide using the BD Cycle TEST PLUS Reagent Kit (BD Biosciences, San Jose, CA, USA) according to the manufacturer's instructions. Twenty thousand cells were analyzed for their DNA content using a FACS Caliber cytometer (BD Biosciences).

In vivo leukemia xenograft models

Eight-week-old female immunodeficient CB-17/Icr-Prkdcscid/Crl (SCID) mice (Charles River Laboratories, Wilmington, MA) were maintained in a pathogen-free environment, and all in vivo procedures were approved by the Synta Pharmaceuticals Corp. Institutional Animal Care and Use Committee (Protocol # AP-02.4-10). For the MV4-11 model, tumor cells were subcutaneously implanted in SCID mice as previously described [34]. Tumor volumes (V) were calculated by caliper measurements of the width (W), length (L), and thickness (T) of each tumor using the formula: V = 0.5236(LWT). Animals with 100–200 mm3 tumors were then randomized into treatment groups of 8 and i.v. dosed via the tail vein at 10 mL/kg body weight with either vehicle or ganetespib formulated in 10/18 DRD (10% DMSO, 18% Cremophor RH 40, 3.6% dextrose, 68.4% water). Tumor growth inhibition was monitored by tumor volume measurements twice weekly. As a measurement of in vivo efficacy, the %T/C value was determined from the change in average tumor volumes of each treated group relative to the vehicle-treated or itself in the case of tumor regression. Statistical significance was determined using a Kruskal-Wallis one-way ANOVA followed by the Tukey Test multiple comparison procedure.

For the HEL92.1.7 model, SCID mice were i.v. injected via the tail vein with 5×106 cells in phosphate-buffered saline (PBS) on day 0. Implanted animals were then randomized into groups of 10 and i.v. dosed with either vehicle or ganetespib as above. Animals were weighed daily and removed from the study at the first sign of hind limb paralysis, which occurred in 100% of vehicle-treated animals. Median overall survival was estimated using the Kaplan-Meier method and the log-rank test (2-sided) for statistical significance. Spinal column tumor burden was visualized using hematoxylin and eosin stained tissue sections.

Supporting Information

Figure S1

Ganetespib differentially regulates genes associated with the cell cycle in addition to JAK/STAT signaling. Genes with greater than two fold increases (red) or decreases (green) in expression with 250 nM ganetespib were clustered using established algorithms. TreeView was used to visualize these results and relevant subsets (Groupings A–D) are shown here. The genes associated with each Group are listed above the heat map. Group A contains genes rapidly and specifically induced by ganetespib (including heat shock-related genes). Group B contains genes repressed by P6 at both 4 and 24 hr (left column of gene names) or only 4 hr (right column). These genes are also inhibited by ganetespib at 24 hr; thus they can be considered JAK-response related. Group C identifies genes specifically repressed by ganetespib at 24 hr, most of which are cell cycle related. Group D includes those genes repressed both early and late by ganetespib but not P6.


Figure S2

Ganetespib was well tolerated in the HEL92.1.7 disseminated leukemia model. Cumulative average body weights showed minimal effects over the 3 week dosing period. Points represent the means and the error bars are the s.e.m.


Table S1

Inhibition of JAK2 activity by P6 or destabilization of JAK2 expression by ganetespib blocks STAT-target gene expression.



The authors would like to thank Qin Huang for pathology assessment and Ross Levine for critical reading of the manuscript.


Competing Interests: All authors are or were employees of Synta Pharmaceuticals, Inc. and all except R.C. Bates and A.F. Rosenberg hold either stock or options in Synta Pharmaceuticals, Inc. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials.

Funding: The authors have no support or funding to report.


1. Rane SG, Reddy EP. JAKs, STATs and Src kinases in hematopoiesis. Oncogene. 2002;21:3334–3358. [PubMed]
2. Gao SP, Mark KG, Leslie K, Pao W, Motoi N, et al. Mutations in the EGFR kinase domain mediate STAT3 activation via IL-6 production in human lung adenocarcinomas. J Clin Invest. 2007;117:3846–3856. [PMC free article] [PubMed]
3. Hedvat M, Huszar D, Herrmann A, Gozgit JM, Schroeder A, et al. The JAK2 inhibitor AZD1480 potently blocks Stat3 signaling and oncogenesis in solid tumors. Cancer Cell. 2009;16:487–497. [PMC free article] [PubMed]
4. Tefferi A, Gilliland DG. JAK2 in myeloproliferative disorders is not just another kinase. Cell Cycle. 2005;4:1053–1056. [PubMed]
5. Baxter EJ, Scott LM, Campbell PJ, East C, Fourouclas N, et al. Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders. Lancet. 2005;365:1054–1061. [PubMed]
6. Levine RL, Wadleigh M, Cools J, Ebert BL, Wernig G, et al. Activating mutation in the tyrosine kinase JAK2 in polycythemia vera, essential thrombocythemia, and myeloid metaplasia with myelofibrosis. Cancer Cell. 2005;7:387–397. [PubMed]
7. James C, Ugo V, Le Couedic JP, Staerk J, Delhommeau F, et al. A unique clonal JAK2 mutation leading to constitutive signalling causes polycythaemia vera. Nature. 2005;434:1144–1148. [PubMed]
8. Kralovics R, Passamonti F, Buser AS, Teo SS, Tiedt R, et al. A gain-of-function mutation of JAK2 in myeloproliferative disorders. N Engl J Med. 2005;352:1779–1790. [PubMed]
9. Jones AV, Kreil S, Zoi K, Waghorn K, Curtis C, et al. Widespread occurrence of the JAK2 V617F mutation in chronic myeloproliferative disorders. Blood. 2005;106:2162–2168. [PubMed]
10. Zhao R, Xing S, Li Z, Fu X, Li Q, et al. Identification of an acquired JAK2 mutation in polycythemia vera. J Biol Chem. 2005;280:22788–22792. [PMC free article] [PubMed]
11. Peeters P, Wlodarska I, Baens M, Criel A, Selleslag D, et al. Fusion of ETV6 to MDS1/EVI1 as a result of t(3;12)(q26;p13) in myeloproliferative disorders. Cancer Res. 1997;57:564–569. [PubMed]
12. Lacronique V, Boureux A, Valle VD, Poirel H, Quang CT, et al. A TEL-JAK2 fusion protein with constitutive kinase activity in human leukemia. Science. 1997;278:1309–1312. [PubMed]
13. Reiter A, Walz C, Watmore A, Schoch C, Blau I, et al. The t(8;9)(p22;p24) is a recurrent abnormality in chronic and acute leukemia that fuses PCM1 to JAK2. Cancer Res. 2005;65:2662–2667. [PubMed]
14. Kerr IM, Costa-Pereira AP, Lillemeier BF, Strobl B. Of JAKs, STATs, blind watchmakers, jeeps and trains. FEBS Lett. 2003;546:1–5. [PubMed]
15. Benekli M, Baer MR, Baumann H, Wetzler M. Signal transducer and activator of transcription proteins in leukemias. Blood. 2003;101:2940–2954. [PubMed]
16. Smithgall TE, Briggs SD, Schreiner S, Lerner EC, Cheng H, et al. Control of myeloid differentiation and survival by Stats. Oncogene. 2000;19:2612–2618. [PubMed]
17. Coffer PJ, Koenderman L, de Groot RP. The role of STATs in myeloid differentiation and leukemia. Oncogene. 2000;19:2511–2522. [PubMed]
18. Garcia R, Jove R. Activation of STAT transcription factors in oncogenic tyrosine kinase signaling. J Biomed Sci. 1998;5:79–85. [PubMed]
19. Bowman T, Garcia R, Turkson J, Jove R. STATs in oncogenesis. Oncogene. 2000;19:2474–2488. [PubMed]
20. Yu H, Pardoll D, Jove R. STATs in cancer inflammation and immunity: a leading role for STAT3. Nat Rev Cancer. 2009;9:798–809. [PubMed]
21. Gozgit JM, Bebernitz G, Patil P, Ye M, Parmentier J, et al. Effects of the JAK2 inhibitor, AZ960, on Pim/BAD/BCL-xL survival signaling in the human JAK2 V617F cell line SET-2. J Biol Chem. 2008;283:32334–32343. [PubMed]
22. Morgan KJ, Gilliland DG. A role for JAK2 mutations in myeloproliferative diseases. Annu Rev Med. 2008;59:213–222. [PubMed]
23. Verstovsek S, Kantarjian H, Mesa R, Cortes J, Pardanani A, et al. Long-term follow up and optimized dosing regimen of INCB018424 in patients with myelofibrosis: durable clinical, functional and symptomatic responses with improved hematological safety. Blood. 2009;114 Abstract 756.
24. Pardanani A, Gotlib J, Jamieson CH, Cortes J, Talpaz M, et al. A Phase I evaluation of TG101348, a selective JAK2 inhibitor, in myelofibrosis: clinical response is accompanied by significant reduction in JAK2V617F allele burden. Blood. 2009;114 Abstract 755.
25. Kamal A, Thao L, Sensintaffar J, Zhang L, Boehm MF, et al. A high-affinity conformation of Hsp90 confers tumour selectivity on Hsp90 inhibitors. Nature. 2003;425:407–410. [PubMed]
26. Xu W, Neckers L. Targeting the molecular chaperone heat shock protein 90 provides a multifaceted effect on diverse cell signaling pathways of cancer cells. Clin Cancer Res. 2007;13:1625–1629. [PubMed]
27. Neckers L. Heat shock protein 90: the cancer chaperone. J Biosci. 2007;32:517–530. [PubMed]
28. Banerji U. Heat shock protein 90 as a drug target: some like it hot. Clin Cancer Res. 2009;15:9–14. [PubMed]
29. Goetz MP, Toft DO, Ames MM, Erlichman C. The Hsp90 chaperone complex as a novel target for cancer therapy. Ann Oncol. 2003;14:1169–1176. [PubMed]
30. Taldone T, Gozman A, Maharaj R, Chiosis G. Targeting Hsp90: small-molecule inhibitors and their clinical development. Curr Opin Pharmacol. 2008;8:370–374. [PMC free article] [PubMed]
31. Li Y, Zhang T, Schwartz SJ, Sun D. New developments in Hsp90 inhibitors as anti-cancer therapeutics: mechanisms, clinical perspective and more potential. Drug Resist Updat. 2009;12:17–27. [PMC free article] [PubMed]
32. Bareng J, Jilani I, Gorre M, Kantarjian H, Giles F, et al. A potential role for HSP90 inhibitors in the treatment of JAK2 mutant-positive diseases as demonstrated using quantitative flow cytometry. Leuk Lymphoma. 2007;48:2189–2195. [PubMed]
33. Schoof N, von Bonin F, Trumper L, Kube D. HSP90 is essential for Jak-STAT signaling in classical Hodgkin lymphoma cells. Cell Commun Signal. 2009;7:17. [PMC free article] [PubMed]
34. Bansal H, Bansal S, Rao M, Foley KP, Sang J, et al. Heat shock protein 90 regulates the expression of Wilms' tumor 1 protein in myeloid leukemias. Blood [PubMed]
35. Lin TY, Bear M, Du Z, Foley KP, Ying W, et al. The novel HSP90 inhibitor STA-9090 exhibits activity against Kit-dependent and -independent malignant mast cell tumors. Exp Hematol. 2008;36:1266–1277. [PubMed]
36. Pedranzini L, Dechow T, Berishaj M, Comenzo R, Zhou P, et al. Pyridone 6, a pan-Janus-activated kinase inhibitor, induces growth inhibition of multiple myeloma cells. Cancer Res. 2006;66:9714–9721. [PubMed]
37. Haura EB, Zheng Z, Song L, Cantor A, Bepler G. Activated epidermal growth factor receptor-Stat-3 signaling promotes tumor survival in vivo in non-small cell lung cancer. Clin Cancer Res. 2005;11:8288–8294. [PubMed]
38. Mukohara T, Kudoh S, Yamauchi S, Kimura T, Yoshimura N, et al. Expression of epidermal growth factor receptor (EGFR) and downstream-activated peptides in surgically excised non-small-cell lung cancer (NSCLC). Lung Cancer. 2003;41:123–130. [PubMed]
39. Lee SO, Lou W, Hou M, de Miguel F, Gerber L, et al. Interleukin-6 promotes androgen-independent growth in LNCaP human prostate cancer cells. Clin Cancer Res. 2003;9:370–376. [PubMed]
40. Lou W, Ni Z, Dyer K, Tweardy DJ, Gao AC. Interleukin-6 induces prostate cancer cell growth accompanied by activation of stat3 signaling pathway. Prostate. 2000;42:239–242. [PubMed]
41. Okamoto M, Lee C, Oyasu R. Interleukin-6 as a paracrine and autocrine growth factor in human prostatic carcinoma cells in vitro. Cancer Res. 1997;57:141–146. [PubMed]
42. Al Shaer L, Walsby E, Gilkes A, Tonks A, Walsh V, et al. Heat shock protein 90 inhibition is cytotoxic to primary AML cells expressing mutant FLT3 and results in altered downstream signalling. Br J Haematol. 2008;141:483–493. [PubMed]
43. Choudhary C, Brandts C, Schwable J, Tickenbrock L, Sargin B, et al. Activation mechanisms of STAT5 by oncogenic Flt3-ITD. Blood. 2007;110:370–374. [PubMed]
44. Lange BM, Bachi A, Wilm M, Gonzalez C. Hsp90 is a core centrosomal component and is required at different stages of the centrosome cycle in Drosophila and vertebrates. EMBO J. 2000;19:1252–1262. [PubMed]
45. Niikura Y, Ohta S, Vandenbeldt KJ, Abdulle R, McEwen BF, et al. 17-AAG, an Hsp90 inhibitor, causes kinetochore defects: a novel mechanism by which 17-AAG inhibits cell proliferation. Oncogene. 2006;25:4133–4146. [PubMed]
46. Sayyah J, Sayeski PP. Jak2 inhibitors: rationale and role as therapeutic agents in hematologic malignancies. Curr Oncol Rep. 2009;11:117–124. [PMC free article] [PubMed]
47. Verstovsek S. Therapeutic potential of JAK2 inhibitors. Hematology Am Soc Hematol Educ Program. 2009:636–642. [PubMed]
48. Mullally A, Lane SW, Ball B, Megerdichian C, Okabe R, et al. Physiological Jak2V617F Expression Causes a Lethal Myeloproliferative Neoplasm with Differential Effects on Hematopoietic Stem and Progenitor Cells. Cancer Cell. 17:584–596. [PMC free article] [PubMed]
49. Marubayashi S, Koppikar P, Taldone T, Abdel-Wahab O, West N, et al. HSP90 is a therapeutic target in JAK2-dependent myeloproliferative neoplasms in mice and humans. J Clin Invest. 120:3578–3593. [PMC free article] [PubMed]
50. Eisen MB, Brown PO. DNA arrays for analysis of gene expression. Methods Enzymol. 1999;303:179–205. [PubMed]
51. Huang da W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4:44–57. [PubMed]

Articles from PLoS ONE are provided here courtesy of Public Library of Science