Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Apr 15.
Published in final edited form as: Clin Cancer Res. 2016 Sep 27;23(8):1945–1954. doi: 10.1158/1078-0432.CCR-16-1562

A novel compound ARN-3236 inhibits Salt Inducible Kinase 2 and sensitizes ovarian cancer cell lines and xenografts to paclitaxel

Jinhua Zhou a,b,*, Albandri Alfraidi a,*, Shu Zhang a, Janice M Santiago-O’Farrill a, Venkata Krishna Reddy Yerramreddy c, Abdulkhaliq Alsaadi d, Ahmed A Ahmed d, Hailing Yang a, Jinsong Liu e, Weiqun Mao a, Yan Wang a, Hiroshi Takemori f, Hariprasad Vankayalapati c,#, Zhen Lu a,#, Robert C Bast Jr a,#
PMCID: PMC5436602  NIHMSID: NIHMS859108  PMID: 27678456

Abstract

Purpose

SIK2 is a centrosome kinase required for mitotic spindle formation and a potential target for ovarian cancer therapy. Here we examine the effects of a novel small molecule SIK2 inhibitor, ARN-3236, on sensitivity to paclitaxel in ovarian cancer.

Experimental Design

SIK2 expression was determined in ovarian cancer tissue samples and cell lines. ARN-3236 was tested for its efficiency to inhibit growth and enhance paclitaxel sensitivity in cultures and xenografts of ovarian cancer cell lines. SIK2 siRNA and ARN-3236 were compared for their ability to produce nuclear-centrosome dissociation, inhibit centrosome splitting, block mitotic progression, induce tetraploidy, trigger apoptotic cell death and reduce AKT/survivin signaling.

Results

SIK2 is overexpressed in approximately 30% of high grade serous ovarian cancers. ARN-3236 inhibited growth of 10 ovarian cancer cell lines at an IC50 of 0.8 to 2.6 μM, where the IC50 of ARN-3236 was inversely correlated with endogenous SIK2 expression (Pearson’s r = −0.642, P = 0.03). ARN-3236 enhanced sensitivity to paclitaxel in 8 of 10 cell lines, as well as in SKOv3ip (P = 0.028) and OVCAR8 xenografts. In at least three cell lines a synergistic interaction was observed. ARN-3236 uncoupled the centrosome from the nucleus in interphase, blocked centrosome separation in mitosis, caused prometaphase arrest and induced apoptotic cell death and tetraploidy. ARN-3236 also inhibited AKT phosphorylation and attenuated survivin expression.

Conclusions

ARN-3236 is the first orally available inhibitor of SIK2 to be evaluated against ovarian cancer in preclinical models and shows promise in inhibiting ovarian cancer growth and enhancing paclitaxel chemosensitivity.

INTRODUCTION

Ovarian cancer is one of the most lethal malignancies. The survival of ovarian cancer patients depends critically on response to platinum- and taxane-based chemotherapy. Whereas 70% of ovarian cancers respond to platinum derivatives, only approximately 40% of patients undergo objective regression following treatment with paclitaxel (1). Improved outcomes might be attained if sensitivity to paclitaxel were enhanced. Several attempts have been made to reverse mechanisms of acquired taxane resistance, but less attention has been given to enhancing sensitivity to taxanes during primary treatment of ovarian cancer, especially high grade serous ovarian cancer (25).

In earlier studies, we had undertaken an siRNA screen to identify kinases that regulate sensitivity to paclitaxel (6). One of the most promising candidates to emerge from that screen was salt inducible kinase 2 (SIK2), a serine/threonine kinase which is required for bipolar mitotic spindle formation and normal mitotic progression (7). Consequently, SIK2 presents an attractive therapeutic target for ovarian cancer treatment (7).

Here, we report that a novel 1H-(pyrazol-4-yl)-1H-pyrrolo[2,3-b]pyridine small molecule inhibitor of SIK2 (ARN-3236) [16] inhibits ovarian cancer cell growth and sensitizes ovarian cancer cells and xenografts to paclitaxel by inhibiting centrosome splitting and AKT/survivin signaling.

METHODS

Tissue microarray

A formalin-fixed, paraffin embedded tissue microarray (TMA) that contained samples of 193 primary serous ovarian cancers (183 cases of high grade and 10 cases of low grade) was obtained from the MD Anderson Pathology Department. Additional details are provided in Supplementary Table 1. The protocols for handling paraffin-embedded ovarian cancer specimens and analyzing patient data were approved by the ethical committees of the MDACC Institutional Review Boards. Tissue microarray construction was performed as previously described (8).

Growth inhibition assay

Cells were seeded in 96-well cell culture plates in triplicate and incubated for 16 hrs. Then cells were treated with DMSO or ARN-3236 for 24 hrs followed by an additional 72 hrs incubation with paclitaxel (PTX) at the concentration indicated. The sulforhodamine B (SRB) assay was used to measure the growth inhibition of each cell line with and without treatment as previously described (9). The concentration producing 50% growth inhibition (IC 50) was calculated by the following formula: 100 × (T − T0)/(C − T0) = TC50, in which T is the optical density (OD) value after drug treatment, T0 is the OD value at time 0, and C is the OD value for the diluent treatment (10). Graphpad Prism 5 software was used to generate growth curves. For studies of ARN-3236 and paclitaxel in combination, four groups were evaluated: (i) drug-free control; (ii) ARN-3236 alone; (iii) paclitaxel alone; and (iv) a combination of ARN-3236 and paclitaxel at 9 different concentrations (0, 0.2, 0.39, 0.78, 1.56, 3.13, 6.25, 12.5 and 25 μM) of paclitaxel were used. To evaluate additive or synergistic interactions, a combination Index (CI value) was calculated with CalcuSyn software (Biosoft, Cabridge, UK) which was developed based on the median-effect principle of Chou-Talalay method (11). Values less than 1 were considered synergistic and those equal to 1 are additive.

Cell lines and cultures

HEY and A2780 human ovarian cancer cell lines were purchased from the American Type Culture Collection (Manassas, VA). UPN251, OVCAR3, OVCAR5, OVCAR8, ES-2, OC316, SKOv3 and IGROV1 were kindly provided by Dr. Gordon Mills’ laboratory (1215), and all the cell lines were confirmed with STR DNA fingerprinting which was performed by the MDACC Characterized Cell Line Core (supported by NCI CCSG # CA016672). SKOv3-SIK2 cell line was kindly provided by Dr. Ahmed’s laboratory (16). SKOv3 and SKOv3-SIK2 cells were cultured in McCoy’s 5A medium; OVCAR3, OVCAR5, OVCAR8, HEY, OC316, A2780, IGROV1, ES-2 and UPN251 cells were cultured in RPMI1640 medium. All media were obtained from the Media Preparation Core Facility at M D Anderson Cancer Center. All cell lines were tested for mycoplasma with a MycoSensor PCR Assay Kit from Stratagene (Cat. 302109, La Jolla, CA) and found to be free from contamination.

siRNA transfection

The siGenome siRNAs (Dharmacon, Lafayette, CO) were used to target individual genes for inhibiting their expression as previously described (7). Cells were transfected with a negative control siRNA or a specific siRNA using DharmaFECT 4 reagent (Dharmacon, Lafayette, CO). A mixture of siRNA (25 nM final concentration) and DharmaFECT 4 reagent was incubated for 20 minutes at room temperate before being applied to the cells.

Nuclear centrosome uncoupling

The distance from the nucleus to the centrosome was measured as previously described (7) and details regarding staining and measurement are provided in Supplementary Methods.

Counting mitotic cells and mitotic cell polarity

After treatment, cells were fixed and stained using anti-γ-tubulin and anti-phospho-histone H3 antibodies. DAPI was used for nuclear staining. The percentage of mitotic cells was calculated using the following formula: (phosphor-histone H3 positive cells/DAPI positive cells)*100%. Mitotic cell polarity was determined as previously described (7). Additional detailed information is provided in Supplementary Methods.

Reverse-Phase Protein Array (RPPA)

SKOv3 cells were treated with ARN-3236 (2 μM) or DMSO diluent for 48 hours. RPPA analysis was performed at the MD Anderson Cancer Center RPPA Core Facility. Additional information is provided in the Supplementary Methods.

Human ovarian cancer xenografts in nude mice

Female athymic nu/nu mice were used to determine the anticancer effect of ARN-3236. Experiments using Nu/Nu mice were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC ID: 00001052-RN00) (M. D. Anderson Cancer Center). SKOv3ip1 and OVCAR8 cells were injected intraperitoneally. ARN-3236 was administrated p.o. at a dose of 60 mg/kg/day daily for 7 days. Paclitaxel was administrated i.p. once a week at a dose of 5 mg/kg in SKOv3ip1 cells and 1mg/kg in OVCAR8 cells. On day 7 after cancer cell injection, the mice were randomly assigned to the following treatment groups (n = 6 mice per group): 1) non-treatment control; 2) vehicle control for ARN-3236; 3) ARN-3236; 4) Paclitaxel; 5) combination of paclitaxel and ARN-3236. SKOv3ip1-bearing mice were treated for 3 weeks, and OVCAR8-bearing mice were treated for 4 weeks. After treatment mice were sacrificed by CO2 at the end of the studies. All tumors were collected immediately after death and weighed.

Statistical analysis

Data are expressed as mean ±s.d. We used SPSS23.0 Software to calculate statistical significance between groups. GraphPad Prism 6.0 was used for multiple comparison tests. A P value of <0.05 was considered as statistically significant.

More details of experiments are listed in Supplementary Methods.

RESULTS

SIK2 is overexpressed in 30% of serous ovarian cancers

To determine SIK2 expression in epithelial ovarian cancer, a cohort of 193 serous ovarian cancers and 60 normal ovarian tissues and normal fallopian tube specimens were analyzed for SIK2 protein expression by immunohistochemistry. Positive SIK2 staining was observed in about 30% of ovarian cancers in comparison with negative staining in normal ovarian surface epithelial cells and normal fallopian epithelial cells (Figure 1A). In addition, SIK2 protein was elevated in 5 of 12 high grade serous ovarian cancer tumor cell lysates compared with normal ovarian epithelium (NOE) cell lysates (Figure 1B). Thus, SIK2 is strongly expressed in 30% of human ovarian cancer and may serve as a potential therapeutic target.

Figure 1. SIK2 is overexpressed in 30% of serous ovarian cancers.

Figure 1

(A) Representative images of human ovarian tumors with low or high immunohistochemical staining for SIK2, and the percentage of SIK2-positive (+) and SIK2-negative samples (−). (B) Lysates from 3 cases of normal ovarian epithelium and 12 cases of primary serous ovarian cancer tissue were subjected to immunoblotting analysis for SIK2 expression.

ARN-3236 inhibits SIK2 kinase activity

Previously, we have shown that SIK2 plays a key role in the progression of mitosis and in regulating paclitaxel sensitivity by knocking down SIK2 protein with siRNA (7). Given the challenges of delivering siRNA to cancer cells in vivo, we had sought orally available small molecule inhibitors of SIK2 to enhance the chemo-sensitivity of ovarian cancers. Arrien Pharmaceuticals has developed a novel 1H-(pyrazol-4-yl)-1H-pyrrolo[2,3-b]pyridine inhibitor, ARN-3236 (17), which competes with ATP binding to SIK2 protein and inhibits SIK2 kinase activity (18, 19). Previous publications have shown that ARN-3236 inhibits SIK2 activity with an IC50 <1 nM, but does not significantly inhibit the other two SIK family members SIK1 and SIK3 as well as other AMPK family members (19). We tested the inhibitory effect of ARN-3236 using TORC2 (Transducer of Regulated CREB protein 2)-derived peptide, a direct substrate of SIK2 with a phosphorylation consensus sequence LX[HKR]S/TXSXXXL (aa166-175) (20) and demonstrated that ARN-3236 diminished TORC2 phosphorylation in a dose dependent manner (Supplementary Figure 1A). To examine the pharmacodynamics of ARN-3236, we studied S358 autophosphorylation of SIK2 which has been correlated with SIK2 activity (16). We confirmed that ARN-3236 blocked auto-phosphorylation of SIK2 and deceased SIK2 activity in ovarian cancer cells in a dose dependent and a time dependent manner (Figure 2A). Thus, ARN-3236 is a potent and specific SIK2 kinase inhibitor.

Figure 2. ARN-3236 inhibits SIK2 kinase activity and ovarian cancer cell growth.

Figure 2

(A) SKOv3-SIK2 cells were treated with ARN-3236 at the indicated concentrations for 48 hrs or SKOv3-SIK2 cell were treated with ARN3236 at final concentration of 2μM for the indicated time periods. Cell lysates were collected and analyzed by western blot for SIK2-pS358 and total protein level of SIK2. The numbers blow the bands are intensities of pS358 normalized to GAPDH.(B) SKOv3 ells were plated at a density of 8000/well in 96-well plates, then treated with ARN-3236 or DMSO for 72 hrs, and cell viability was measured with an SRB assay. (C) Endogenous SIK2 expression was detected by western blot in indicated ovarian cancer cell lines. (D) The correlation between endogenous SIK2 expression and IC50 value in each cell line was plotted.

ARN-3236 inhibits cell growth and increases paclitaxel sensitivity in ovarian cancer cells

To determine whether ARN-3236 could inhibit growth of ovarian cancer cells, the effect of ARN-3236 was measured in 10 ovarian cancer cell lines using short term cell proliferation assays and the IC50 of ARN-3236 was calculated in each cell line. Significant inhibition was achieved in all cell lines. The IC50 values of ES2, SKOv3, OVCAR3, A2780, HEY, OC316, IGROV1, UPN251, OVCAR8, OVCAR5 cells were 1.22 μM, 1.23 μM, 2.58 μM, 0.93 μM, 0.8 μM,1.63 μM, 2.51μM, 2.42 μM, 1.56 μM and 1.19 μM, respectively. Thus, the IC50 ranged from 0.8 μM to 2.6 μM (Figure 2B; Supplementary Figure 1, B–J). Endogenous SIK2 protein expression correlated inversely with the IC50 value of ARN-3236 in these cancer cell lines (Pearson’s r = −0.642, P = 0.03) (Figure 2, C and D), indicating the cells with relatively high expression of SIK2 protein are more sensitive to treatment with the SIK2 inhibitor. The ability of ARN-3236 to sensitize ovarian cancer cells to paclitaxel was documented in 8 ovarian cancer cell lines including OC316, OVCAR8, SKOv3, A2780, OVCAR5, HEY, ES2 and UPN251 where treatment with ARN-3236 produced a >1.5 fold change in IC50 (Figure 3, A and B; Supplementary Figure 2, A–F). Sensitization to paclitaxel was not observed in OVCAR3 and IGROV1 (Supplementary Figure 2, G and H) that exhibited relatively low expression level of SIK2 protein. In addition, ARN-3236 and paclitaxel combination study in SKOv3, OC126 and OVCAR8 cell lines further confirmed that treatment of ARN-3236 with paclitaxel provide synergistic effect (Supplementary Figure 2J). Thus, ARN-3236 increased sensitivity to paclitaxel in cell lines with relatively high expression of SIK2.

Figure 3. ARN-3236 increases paclitaxel sensitivity in ovarian cancer cells in vitro and in vivo.

Figure 3

(A, B) OC316 and OVCAR8 cells were plated at a density of 8000/well in 96-well plate, then sequentially treated with ARN-3236 or DMSO for 24 hr and with increasing concentration of paclitaxel for another 72 hrs. Cell viability was measured with an SRB assay. (C) A flow diagram showing the design of the in vivo experiment. (D) SKOv3ip cancer cells were inoculated i.p. into nu/nu mice and treated as indicated in the Methods. After treatment, mice were sacrificed and the tumors weighed. The tumor weight of individual mice in each group is plotted (n=6 in each group).

ARN-3236 sensitizes ovarian cancer to paclitaxel in vivo

The antitumor activity of ARN-3236 was measured using ovarian cancer xenograft model in nu/nu mice (Figure 3C). In SKOv3ip xenograft model, ARN-3236 plus paclitaxel produced greater inhibition of tumor growth than any other group and showed statistically significant difference compared to paclitaxel alone (P = 0.028) (Figure 3D). A combination of ARN-3236 with paclitaxel produced a similar trend in growth inhibition in a xenograft model using OVCAR8 high grade serous ovarian cancer cells where significant inhibition (P=0.02) was observed only with the combined treatment (Supplementary Figure 2, I). Together, these data confirm that ARN-3236 inhibits SIK2 activity and enhances paclitaxel sensitivity not only in cultured cells but also in ovarian cancer xenografts, suggesting the potential of ARN-3236 in improving chemotherapy efficiency in ovarian cancers.

ARN-3236 increases centrosome uncoupling from nucleus

The centrosome, located close to the nuclear envelope during interphase, is an organelle that serves as the microtubule organizing center for cells as well as a regulator of cell cycle progression. SIK2 knockdown resulted in nuclear-centrosome uncoupling (NCU) (nuclear-centrosome distance of > 2 μm) (7). To test the effect of ARN-3236 on centrosome uncoupling, nuclear centrosome distance was measured in SKOv3 and A2780 cells after treatment of ARN-3236 for 48 hours. ARN-3236 treatment increased the nuclear centrosome distance from 1.790 μm to 3.198 μm in SKOv3 cells and from 1.410 μm to 2.230 μm in A2780 cells (P < 0.0001) (Figure 4, A and B; Supplementary Figure 3A), suggesting that the SIK2 inhibitor abolished this centrosome function. In addition, a significant increase in the percentage of NCU-positive cells was also detected after SIK2 inhibitor treatment compared to control (30.0% to 15.2% in SKOv3 cells, 37.6% to 18.7% in A2780 cells, respectively, P < 0.01, Figure 4B; Supplementary Figure 3A). Thus, ARN-3236 interfered with the appropriate centrosome positioning in interphase.

Figure 4. ARN-3236 uncouples the centrosome from the nucleus and inhibits centrosome separation.

Figure 4

(A) Shown is a representative centrosome localization in relation to the nucleus 48 hrs post DMSO or ARN-3236 treatment. DAPI, blue; α-tubulin, red; γ-tubulin, green. Arrow head points to dislocated centrosome. (B) SKOv3 cells were plated on cover slips and transfected with siRNA or treated with DMSO or ARN-3236 (1 μM), 48 hrs following treatment, the distance from the centrosome to the nuclear envelop in each cell was measured and the percentage of cells showing nuclear-centrosome uncoupling (NCU) was calculated. The bar plots show the mean ± s.d. of the distance in microns (left plot) and the mean ± s.d. of the percentage of cells with NCU from three independent experiments (right plot). (C) Cells were treated as in (B) and stained using anti-γ-tubulin (red) and anti-phosphohistone H3 (green) to reveal the centrosome position in mitosis in relation to chromosomes. Shown are the representative examples of different mitosis phase in control cells. (D) After the same treatment as in (B), mitotic cells at each stage were counted and plotted. Bar plots represents the mean ± s.d. of the percentage of cells at different stage of mitosis (left plot) and the mean prometaphase/metaphase ratio ± s.d (right plot). (E) Cells were treated as in (B) and stained using anti-γ-tubulin (green), α-tubulin (red) and DAPI to reveal the centrosome position in relation to chromosomes. Shown are the representative examples of bipolar and mono/multipolar mitotic cells. (F) After the same treatment as in (B), bipolar and mono/multipolar mitotic cells were counted and plotted. Bar plots represents the mean ± s.d. of the percentage of bipolar and mono/multipolar mitotic cells.

ARN-3236 inhibits centrosome splitting in mitotic cells

Mitosis is a continuous process that passes through different stages: prophase, prometaphase, metaphase, anaphase and telophase. In early mitosis, separation of centrosomes is driven by several motor proteins with the onset of prophase to ensure spindle bipolarity (21, 22). Previously, we reported that SIK2 regulates centrosome splitting, and SIK2 knockdown resulted in centrosome splitting failure and mitotic catastrophe (7, 23). To determine whether ARN-3236 blocks centrosome function in mitotic cells, we calculated the percentage of each phase in mitotic cells after ARN-3236 treatment. We have shown that ARN-3236 induced accumulation of cells in prometaphase (Figure 4, C and D; Supplementary Figure 3, B and C), and increased the ratio of prometaphase to metaphase cells in mitosis, suggesting that ARN-3236 induces prometaphase arrest in ovarian cancer cells. Importantly, ARN-3236 decreased the percentage of bipolar mitotic cells and increased the percentage of monopolar/multipolar mitotic cells (Figure 4, E and F). These data indicate that ARN-3236 inhibits centrosome splitting in mitotic ovarian cancer cells.

ARN-3236 induces cell cycle arrest, apoptosis and tetraploidy

To confirm that the failure of centrosome splitting and the delay in mitotic progression induced by ARN-3236 can result in cell cycle arrest and apoptosis, we first tested the effect of ARN-3236 on cell cycle progression in ovarian cancer cells. Treatment with ARN-3236 induced G2/M arrest (Figure 5A; Supplementary Figure 4A). Further, measurement of apoptosis by flow cytometry indicated that ARN-3236 induced apoptosis both alone and in combination with paclitaxel (Figure 5B; Supplementary Figure 4B). Previously, we have shown that SIK2 depletion increases the cell ploidy index (7). In our current study, ARN-3236 treatment resulted in accumulation of tetraploid cells (4n and 8n) (Figure 5C), and sequential treatment of ARN-3236 and paclitaxel led to further accumulation of tetraploid cells (4n and 8n) compared to treatment of paclitaxel or ARN-3236 alone (Figure 5D). Tetraploid cells are often associated with failing mitosis, which lead to the gross nuclear alterations that constitute the most prominent morphological traits of mitotic catastrophe. Mitotic catastrophe also has been extensively used as a term to indicate cell death resulting from aberrant mitosis (24, 25). Altogether, the results suggest that ARN-3236 and/or paclitaxel treatment may inhibit ovarian cancer growth and induce cell death through multiple mechanisms including G2/M arrest, apoptosis and mitotic catastrophe.

Figure 5. ARN-3236 induces cell cycle arrest, apoptosis and tetraploidy.

Figure 5

(A) SKOv3 cells were transfected with SIK2 siRNA or treated with ARN-3236 (1 μM) for 48 hrs. After treatment, cells were fixed, stained with PI, and subjected to cell cycle analysis. (B) SKOv3 cells were treated with ARN-3236 (1 μM) for 24 hrs and with paclitaxel (3 nM) for another 72 hrs, then were stained with Annexin V-FITC/PI and subjected to apoptotic analysis. (C) SKOv3 cells were treated with SIK2 siRNA or ARN-3236 (1 μM) for 48 hrs, fixed, stained with PI and subjected to cell ploidy analysis. The representative percentage of cell in 2n, 4n and 8n are shown. (D) SKOv3 cells were transfected with SIK2 siRNA or treated with ARN-3236 (1 μM) for 24hr and with paclitaxel (3 nM) for another 72 hrs, then cells were fixed, stained with PI and subjected to cell ploidy analysis. The representative percentage of cell in 2n, 4n and 8n are shown. All the experiments were repeated in triplicate.

ARN-3236 attenuates the AKT/survivin pathway

To identify potential mechanisms underlying regulation of apoptosis by SIK2 inhibition, reverse phase protein arrays (RPPA) were used to monitor changes in signaling pathways. We found that ARN-3236 significantly inhibited AKT activation (Supplementary Figure 5A), which is consistent with the results obtained when SIK2 was silenced with siRNA (7). To validate results obtained with RPPA analysis, positive hits were confirmed by Western blot analysis. ARN-3236 inhibits AKT activation by reducing phosphorylation of serine 473 as well as threonine 308 (Figure 6A; Supplementary Figure 5B). Furthermore, ARN-3236 also reduces the expression of survivin (Figure 6A; Supplementary Figure 5B), a downstream target of AKT which contributes to paclitaxel resistance in many cancers (26, 27), suggesting that SIK2 regulates ovarian cancer cell growth and paclitaxel resistance, at least in part, through AKT/survivin signaling. Importantly, the ARN-3236-mediated changes in AKT phosphorylation and survivin observed in cultured cells were also confirmed in ovarian cancer xenografts in vivo (Figure 6A and Supplementary Figure 5C). In addition, whether survivin overrides the pro-apoptotic function of ARN-3236 and paclitaxel was investigated in the cells engineered to overexpress survivin (Figure 6B). As shown in Figure 6C and 6D, ARN-3236 moderately but significantly sensitized OC316-control cells to paclitaxel (paclitaxel IC50: 4.732–5.248 nM in DMSO, 3.873 – 4.252 nM in ARN-3236, IC50 fold change 1.22, P < 0.01), but did not sensitize an OC316 subline with forced expression of survivin (paclitaxel IC50: 4.737 – 5.254 nM in DMSO, 4.613–5.5230 nM in ARN-3236, P = 0.73). OC316-survivin cells also exhibited attenuated activation of caspase-3 after ARN-3236 and paclitaxel treatment (Figure 6E). Thus, down-regulation of survivin expression and activation of apoptosis is at least partially responsible for ARN-3236-mediated paclitaxel sensitization.

Figure 6. ARN-3236 attenuates the AKT/survivin pathway.

Figure 6

(A) SKOv3 cells were transfected with SIK2 siRNA or treated with ARN-3236 for 48 hrs, cell lysates were collected and analyzed by western blot for AKT-pS473, AKT-pT308, AKT and survivin expression (left panel), in the right panel is shown immunoblotting analysis of tumor lysates after the indicated treatment detecting AKT-pS473, AKT-pT308, AKT and survivin. (B) The vector expressed survivin (C-survivin) and endogenous survivin (E-survivin) were detected by western blot in the cell lines indicated. (C, D) Ovarian cancer cells of the lines indicated were added to 96 well plates at density of 8000 cells/well and treated with DMSO or ARN-3236 (0.6 μM) for 24 hrs, followed by different concentrations of paclitaxel for a subsequent 72 hrs. Cell viability was measured by an SRB assay. Triplicate assays were performed. The fold change in paclitaxel IC50 values after ARN-3236 treatment are plotted for each cell line in (C) and the cell viability curves are shown in (D). (E) Ovarian cancer cells were treated with ARN-3236 (0.6 μM) for 24 hr and/or with paclitaxel (4 nM) for subsequent 72 hr, cell lysates well collected and subjected to western blot analysis of activated caspase-3.

DISCUSSION

SIK2 is a member of a family of AMP-activated protein kinases (AMPKs) which was originally cloned from the adrenal gland of a salt treated rat (28). SIK2 has been shown to function in diverse biological processes, including gluconeogenesis, neuronal survival, melanogenesis, hepatic steatosis and centrosome splitting (7, 2932). SIK2 is also implicated in the progression of cancer (7, 3335). In addition, a fraction of ovarian cancers depends on the SIK2 kinase for maintenance of cell proliferation and chemoresistance (7). Some 30% of ovarian cancers overexpress SIK2, associated with a trend toward poor prognosis. Selective inhibition of SIK2 kinase is a potentially important approach for the treatment of ovarian cancer.

ARN-3236 is an orally bioavailable SIK2 small-molecule inhibitor. ARN-3236 inhibits SIK2 activity with sub-nanomolar potency, but does not significantly inhibit the other two SIK family members SIK1 and SIK3 (19). To our knowledge, ARN-3236 is the first and most potent SIK2 inhibitor reported to date. ARN-3236 inhibited growth of 10 ovarian cancer cell lines with IC50 values of 0.8 to 2.6 μM. Importantly, the IC50 of ARN-3236 was inversely correlated with endogenous SIK2 expression across 10 different cell lines. Consequently, we have identified a potential biomarker for susceptibility to SIK2 inhibition with this compound. In our current study, primary sensitivity to paclitaxel has been enhanced by treatment of ARN-3236. As less than half of ovarian cancer patients exhibit primary sensitivity to paclitaxel, there is considerable room for improvement in primary treatment. ARN-3236 and its congeners could fill this unmet medical need. Inhibition of growth and enhancement of paclitaxel sensitivity was observed in 8 of 10 ovarian cancer cell lines (36), suggesting that the combination of ARN-3236 and paclitaxel might improve efficacy in a significant fraction of patients with this disease. In addition, our data suggest that inhibition of SIK2 enzyme activity can mimic the effects of siRNA-mediated knockdown of SIK2 protein with regards to cell cycle changes, induction of polyploidy, uncoupling of centrosomes from the nucleus, centrosome splitting, growth inhibition and enhanced sensitivity to paclitaxel, associated with decreased signaling through AKT.

Regulators of mitosis have been successfully targeted by ARN-3236 to enhance response to taxane chemotherapy. Centrosomes are complex cellular substructures that are dynamically regulated by a series of biochemical and morphological changes that parallel the progression of cell cycle. In addition to organizing cytoplasmic microtubule arrays during interphase, centrosomes direct formation and positioning of bipolar mitotic spindle and thereby enable equal partitioning of the replicated genome, and impaired centrosome function may lead to chromosome missegregation and accumulation of tetraploid cells. Tetraploid cells are often associated with failing mitosis and mitotic catastrophe which has been extensively used as a term to indicated cell death resulting from aberrant mitosis(37). Because the functional significance of centrosome have been described in a variety of solid tumors, including breast, prostate, colon, ovarian and pancreatic cancer (37, 38), centrosome has become an important focus for cancer therapy development (39, 40). Here, we show that ARN-3236 with the known SIK2 inhibition disturbed SIK2-dependent centrosome positioning in interphase and blocked centrosome separation in mitosis, sensitizing ovarian cancers to paclitaxel in culture and in xenografts. We believe these data further confirmed that ARN-3236 has potential for enhancing primary treatment of ovarian cancers.

Supplementary Material

1
2

Translational Relevance.

Ovarian cancer is the fifth leading cause of death from cancer. More than half of ovarian cancers are resistant to paclitaxel at the time of diagnosis. SIK2 is overexpressed in 30% of ovarian cancers and regulates mitotic progression. Here, we have shown that a novel SIK2 inhibitor, ARN-3236, blocks the activity of SIK2 kinase and inhibits ovarian cancer cell growth, enhancing the paclitaxel sensitivity. Similar to the effect of SIK2 knockdown with siRNA, ARN-3236 induced apoptotic cell death by inhibiting AKT/survivin signaling. In addition, ARN-3236 induced G2/M arrest and mitotic catastrophe in ovarian cancer cells. Thus, ARN-3236 appears to be a drug with promise for enhancing primary treatment of ovarian cancers.

Acknowledgments

FUNDING

This work was supported by the Cancer Prevention and Research Institute of Texas (RP110-595); the National Cancer Institute at the National Institutes of Health (P50 CA83639, U54 CA151668, R01 CA135354, P30 CA16672, UH2 TR000943-01); the Zarrow Foundation; the Mossy Foundation; the National Foundation for Cancer Research; the RGK Foundation and the generous support of Stuart and Gay Lynne Zarrow.

Footnotes

DISCLOSURE OF POTENTIAL CONFLICTS OF INTEREST

The authors have no conflicts of interest.

Author’s Contributions

Conception and design: J. Zhou, A. Alfraidi, Z. Lu, R. Bast

Development of methology: J. Zhou, A. Alfraidi, Z. Lu

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): J. Zhou, A. Alfraidi, S. Zhang, J. Santiago, H. Yang, H. Vankayalapati, W. Mao, A. Alsaadi and Z. Lu

Analysis and interpretation of data (e.g. statistical analysis, biostatistics, computational analysis): J. Zhou, A. Alfraidi, Z. Lu, R. Bast

Writing, review, and/or revision of the manuscript: J. Zhou, Z. Lu, R. Bast

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): J. Zhou, A. Alfraidi, H. Yang, Z. Lu

Study supervision: H. Vankayalapati, W. Mao, Z. Lu, R. Bast

References

  • 1.Muggia FM, Braly PS, Brady MF, Sutton G, Niemann TH, Lentz SL, et al. Phase III randomized study of cisplatin versus paclitaxel versus cisplatin and paclitaxel in patients with suboptimal stage III or IV ovarian cancer: a gynecologic oncology group study. J Clin Oncol. 2000;18:106–15. doi: 10.1200/JCO.2000.18.1.106. [DOI] [PubMed] [Google Scholar]
  • 2.Coleman RL, Monk BJ, Sood AK, Herzog TJ. Latest research and treatment of advanced-stage epithelial ovarian cancer. Nat Rev Clin Oncol. 2013;10:211–24. doi: 10.1038/nrclinonc.2013.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Yu Y, Gaillard S, Phillip JM, Huang TC, Pinto SM, Tessarollo NG, et al. Inhibition of Spleen Tyrosine Kinase Potentiates Paclitaxel-Induced Cytotoxicity in Ovarian Cancer Cells by Stabilizing Microtubules. Cancer Cell. 2015;28:82–96. doi: 10.1016/j.ccell.2015.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.McGrail DJ, Khambhati NN, Qi MX, Patel KS, Ravikumar N, Brandenburg CP, et al. Alterations in ovarian cancer cell adhesion drive taxol resistance by increasing microtubule dynamics in a FAK-dependent manner. Sci Rep. 2015;5:9529. doi: 10.1038/srep09529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kurman RJ, Shih Ie M. The Dualistic Model of Ovarian Carcinogenesis: Revisited, Revised, and Expanded. Am J Pathol. 2016;186:733–47. doi: 10.1016/j.ajpath.2015.11.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ahmed AA, Wang X, Lu Z, Goldsmith J, Le XF, Grandjean G, et al. Modulating microtubule stability enhances the cytotoxic response of cancer cells to Paclitaxel. Cancer Res. 2011;71:5806–17. doi: 10.1158/0008-5472.CAN-11-0025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ahmed AA, Lu Z, Jennings NB, Etemadmoghadam D, Capalbo L, Jacamo RO, et al. SIK2 is a centrosome kinase required for bipolar mitotic spindle formation that provides a potential target for therapy in ovarian cancer. Cancer Cell. 2010;18:109–21. doi: 10.1016/j.ccr.2010.06.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Rosen DG, Yang G, Deavers MT, Malpica A, Kavanagh JJ, Mills GB, et al. Cyclin E expression is correlated with tumor progression and predicts a poor prognosis in patients with ovarian carcinoma. Cancer. 2006;106:1925–32. doi: 10.1002/cncr.21767. [DOI] [PubMed] [Google Scholar]
  • 9.Vichai V, Kirtikara K. Sulforhodamine B colorimetric assay for cytotoxicity screening. Nat Protoc. 2006;1:1112–6. doi: 10.1038/nprot.2006.179. [DOI] [PubMed] [Google Scholar]
  • 10.Monks A, Scudiero D, Skehan P, Shoemaker R, Paull K, Vistica D, et al. Feasibility of a high-flux anticancer drug screen using a diverse panel of cultured human tumor cell lines. J Natl Cancer Inst. 1991;83:757–66. doi: 10.1093/jnci/83.11.757. [DOI] [PubMed] [Google Scholar]
  • 11.Chou TC. Drug combination studies and their synergy quantification using the Chou-Talalay method. Cancer Res. 2010;70:440–6. doi: 10.1158/0008-5472.CAN-09-1947. [DOI] [PubMed] [Google Scholar]
  • 12.Alama A, Barbieri F, Favre A, Cagnoli M, Noviello E, Pedulla F, et al. Establishment and characterization of three new cell lines derived from the ascites of human ovarian carcinomas. Gynecol Oncol. 1996;62:82–8. doi: 10.1006/gyno.1996.0194. [DOI] [PubMed] [Google Scholar]
  • 13.Wilson AP. Characterization of a cell line derived from the ascites of a patient with papillary serous cystadenocarcinoma of the ovary. J Natl Cancer Inst. 1984;72:513–21. [PubMed] [Google Scholar]
  • 14.Benard J, Da Silva J, De Blois MC, Boyer P, Duvillard P, Chiric E, et al. Characterization of a human ovarian adenocarcinoma line, IGROV1, in tissue culture and in nude mice. Cancer Res. 1985;45:4970–9. [PubMed] [Google Scholar]
  • 15.Simon WE, Albrecht M, Hansel M, Dietel M, Holzel F. Cell lines derived from human ovarian carcinomas: growth stimulation by gonadotropic and steroid hormones. J Natl Cancer Inst. 1983;70:839–45. [PubMed] [Google Scholar]
  • 16.Miranda F, Mannion D, Liu S, Zheng Y, Mangala LS, Redondo C, et al. Salt-Inducible Kinase 2 Couples Ovarian Cancer Cell Metabolism with Survival at the Adipocyte-Rich Metastatic Niche. Cancer Cell. 2016;30:273–89. doi: 10.1016/j.ccell.2016.06.020. [DOI] [PubMed] [Google Scholar]
  • 17.Vankayalapati H, et al., inventors. Preparation of substituted 1H-pyrrolo[2,3-b]pyridine and 1H-pyrazolo[3,4-b]pyridine derivatives as salt inducible kinase 2 (SIK2) inhibitors. US 20140256704 A1. US patent. 2014
  • 18.Albandri Alfredi SZ, Mao Weiqu, Wang Yan, Takemori Hiroshi, Lu Zhen, Bast Robert C, Vankayalapati Hariprasad. Highly potent and orally available SIK2 inhibitors block growth of human ovarian cancer cells in culture andxenografts. AACR Annual Meeting; San Diego, CA. Philadelphia (PA): AACR; 2014. [Google Scholar]
  • 19.Lombardi MS, Gillieron C, Dietrich D, Gabay C. SIK inhibition in human myeloid cells modulates TLR and IL-1R signaling and induces an anti-inflammatory phenotype. J Leukoc Biol. 2016;99:711–21. doi: 10.1189/jlb.2A0715-307R. [DOI] [PubMed] [Google Scholar]
  • 20.Screaton RA, Conkright MD, Katoh Y, Best JL, Canettieri G, Jeffries S, et al. The CREB coactivator TORC2 functions as a calcium- and cAMP-sensitive coincidence detector. Cell. 2004;119:61–74. doi: 10.1016/j.cell.2004.09.015. [DOI] [PubMed] [Google Scholar]
  • 21.Meraldi P, Nigg EA. The centrosome cycle. FEBS Lett. 2002;521:9–13. doi: 10.1016/s0014-5793(02)02865-x. [DOI] [PubMed] [Google Scholar]
  • 22.Hinchcliffe EH. The centrosome and bipolar spindle assembly: does one have anything to do with the other? Cell Cycle. 2011;10:3841–8. doi: 10.4161/cc.10.22.18293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Mayor T, Hacker U, Stierhof YD, Nigg EA. The mechanism regulating the dissociation of the centrosomal protein C-Nap1 from mitotic spindle poles. J Cell Sci. 2002;115:3275–84. doi: 10.1242/jcs.115.16.3275. [DOI] [PubMed] [Google Scholar]
  • 24.Vitale I, Galluzzi L, Castedo M, Kroemer G. Mitotic catastrophe: a mechanism for avoiding genomic instability. Nat Rev Mol Cell Biol. 2011;12:385–92. doi: 10.1038/nrm3115. [DOI] [PubMed] [Google Scholar]
  • 25.Erenpreisa J, Kalejs M, Ianzini F, Kosmacek EA, Mackey MA, Emzinsh D, et al. Segregation of genomes in polyploid tumour cells following mitotic catastrophe. Cell Biol Int. 2005;29:1005–11. doi: 10.1016/j.cellbi.2005.10.008. [DOI] [PubMed] [Google Scholar]
  • 26.Zhang M, Mukherjee N, Bermudez RS, Latham DE, Delaney MA, Zietman AL, et al. Adenovirus-mediated inhibition of survivin expression sensitizes human prostate cancer cells to paclitaxel in vitro and in vivo. Prostate. 2005;64:293–302. doi: 10.1002/pros.20263. [DOI] [PubMed] [Google Scholar]
  • 27.Wang S, Huang X, Lee CK, Liu B. Elevated expression of erbB3 confers paclitaxel resistance in erbB2-overexpressing breast cancer cells via upregulation of Survivin. Oncogene. 2010;29:4225–36. doi: 10.1038/onc.2010.180. [DOI] [PubMed] [Google Scholar]
  • 28.Wang Z, Takemori H, Halder SK, Nonaka Y, Okamoto M. Cloning of a novel kinase (SIK) of the SNF1/AMPK family from high salt diet-treated rat adrenal. FEBS Lett. 1999;453:135–9. doi: 10.1016/s0014-5793(99)00708-5. [DOI] [PubMed] [Google Scholar]
  • 29.Dentin R, Liu Y, Koo SH, Hedrick S, Vargas T, Heredia J, et al. Insulin modulates gluconeogenesis by inhibition of the coactivator TORC2. Nature. 2007;449:366–9. doi: 10.1038/nature06128. [DOI] [PubMed] [Google Scholar]
  • 30.Horike N, Kumagai A, Shimono Y, Onishi T, Itoh Y, Sasaki T, et al. Downregulation of SIK2 expression promotes the melanogenic program in mice. Pigment Cell Melanoma Res. 2010;23:809–19. doi: 10.1111/j.1755-148X.2010.00760.x. [DOI] [PubMed] [Google Scholar]
  • 31.Sasaki T, Takemori H, Yagita Y, Terasaki Y, Uebi T, Horike N, et al. SIK2 is a key regulator for neuronal survival after ischemia via TORC1-CREB. Neuron. 2011;69:106–19. doi: 10.1016/j.neuron.2010.12.004. [DOI] [PubMed] [Google Scholar]
  • 32.Bricambert J, Miranda J, Benhamed F, Girard J, Postic C, Dentin R. Salt-inducible kinase 2 links transcriptional coactivator p300 phosphorylation to the prevention of ChREBP-dependent hepatic steatosis in mice. J Clin Invest. 2010;120:4316–31. doi: 10.1172/JCI41624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Nagel S, Leich E, Quentmeier H, Meyer C, Kaufmann M, Zaborski M, et al. Amplification at 11q23 targets protein kinase SIK2 in diffuse large B-cell lymphoma. Leuk Lymphoma. 2010;51:881–91. doi: 10.3109/10428191003699878. [DOI] [PubMed] [Google Scholar]
  • 34.Imielinski M, Berger AH, Hammerman PS, Hernandez B, Pugh TJ, Hodis E, et al. Mapping the hallmarks of lung adenocarcinoma with massively parallel sequencing. Cell. 2012;150:1107–20. doi: 10.1016/j.cell.2012.08.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bon H, Wadhwa K, Schreiner A, Osborne M, Carroll T, Ramos-Montoya A, et al. Salt-inducible Kinase 2 Regulates Mitotic Progression and Transcription in Prostate Cancer. Mol Cancer Res. 2014 doi: 10.1158/1541-7786.MCR-13-0182-T. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Domcke S, Sinha R, Levine DA, Sander C, Schultz N. Evaluating cell lines as tumour models by comparison of genomic profiles. Nat Commun. 2013;4:2126. doi: 10.1038/ncomms3126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Gonczy P. Centrosomes and cancer: revisiting a long-standing relationship. Nat Rev Cancer. 2015;15:639–52. doi: 10.1038/nrc3995. [DOI] [PubMed] [Google Scholar]
  • 38.Chan JY. A clinical overview of centrosome amplification in human cancers. Int J Biol Sci. 2011;7:1122–44. doi: 10.7150/ijbs.7.1122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kawamura E, Fielding AB, Kannan N, Balgi A, Eaves CJ, Roberge M, et al. Identification of novel small molecule inhibitors of centrosome clustering in cancer cells. Oncotarget. 2013;4:1763–76. doi: 10.18632/oncotarget.1198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kwon M, Godinho SA, Chandhok NS, Ganem NJ, Azioune A, Thery M, et al. Mechanisms to suppress multipolar divisions in cancer cells with extra centrosomes. Genes Dev. 2008;22:2189–203. doi: 10.1101/gad.1700908. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1
2

RESOURCES