Abstract
Multi-tyrosine kinase inhibitors (MTKIs) have thus far had limited success in the treatment of castration-resistant prostate cancer (CRPC). Here, we report a phase I-cleared orally bioavailable MTKI, ESK981, with a novel autophagy inhibitory property that decreased tumor growth in diverse preclinical models of CRPC. The anti-tumor activity of ESK981 was maximized in immunocompetent tumor environments where it upregulated CXCL10 expression through the interferon gamma pathway and promoted functional T cell infiltration, which resulted in enhanced therapeutic response to immune checkpoint blockade. Mechanistically, we identify the lipid kinase PIKfyve as the direct target of ESK981. PIKfyve-knockdown recapitulated ESK981’s anti-tumor activity and enhanced the therapeutic benefit of immune checkpoint blockade. Our study reveals that targeting PIKfyve via ESK981 turns tumors from cold into hot through inhibition of autophagy, which may prime the tumor immune microenvironment in advanced prostate cancer patients and be an effective treatment strategy alone or in combination with immunotherapies.
INTRODUCTION
Although advanced prostate cancer often initially responds to therapies that suppress androgen signaling, resistance inevitably develops, leading to the emergence of castration-resistant prostate cancer (CRPC)1. Several developments in the past decade have advanced CRPC treatment, including enzalutamide and abiraterone, agents that target continued androgen receptor (AR) signaling2,3; however, these and other therapies for CRPC are not curative. In response to the hypothesis that combination treatments may be required to achieve durable responses in advanced cancers4,5, the utility of multi-tyrosine kinase inhibitors (MTKIs) has been explored. Despite promising phase II clinical trial results with the MTKI cabozantinib in CRPC6, the phase III trial failed to meet its primary survival endpoint7. In this study, we determined whether alternative phase I-cleared MTKIs could be repositioned for the treatment of advanced prostate cancer and have identified ESK981 as an effective monotherapy with an autophagy inhibitory property that also potentiates immunotherapeutic responses.
ESK981 (formerly CEP-11981) is an oral MTKI originally developed as an angiogenesis inhibitor targeting key kinases implicated in angiogenesis (FLT1/VEGFR-1, KDR/VEGFR-2, TEK/Tie-2)8. Importantly, ESK981 cleared a phase I dose-escalation study in patients with advanced, relapsed, or refractory solid tumors where the maximum-tolerated dose was 97.4 mg/m2 daily9. Of the evaluable patients, 51% achieved stable disease at ≥6 weeks of ESK981 treatment. Serendipitously, our current study uncovers a novel mechanism of action of ESK981 that involves robust inhibition of autophagy through direct targeting of PIKfyve, a class III lipid kinase that converts phosphatidylinositol 3-phosphate (PI(3)P) to phosphatidylinositol 3,5-bisphosphate (PI(3,5)P2)10. Studies of PIKfyve as a therapeutic target have thus far been limited to non-Hodgkin lymphoma, multiple myeloma, and non-small cell lung cancer11-13.
The role of autophagy has been intensely studied in cancer14, and several reports have suggested that autophagy inhibition may sensitize tumors to immune checkpoint inhibitors through release of T cell-attracting chemokines15-17 or other immunomodulatory mechanisms18. In this study, we demonstrate that inhibition of autophagic flux, triggered by ESK981 or PIKfyve inhibition, renders prostate tumors toward an immune-responsive state, conferring sensitivity to immunotherapy. These findings have important implications for those cancers, such as prostate, that are not intrinsically immunogenic and have had limited success with immunotherapy19,20.
RESULTS
Efficacy of ESK981 in advanced prostate cancer models
To determine whether MTKIs have the potential to be repositioned for CRPC, a cell viability screen employing a 167-compound library was performed in DU145 prostate cancer cells (Fig. 1a). From this screen, ESK981 was identified as a top candidate MTKI that decreased cell viability. ESK981 exhibited potent growth inhibition at 300 nM, an effect comparable to SRC inhibitors (KX2-391, dasatinib)21 and the ERBB2/HER2 inhibitor mubritinib22, compounds previously reported to target DU145 cells. Conversely, crizotinib and cabozantinib, MTKIs that have been evaluated clinically in CRPC6,7,23,24, exhibited no growth inhibitory effects at the equivalent concentration (Fig. 1a). ESK981 was also found to trigger a cytoplasmic vacuolization morphology that was not observed with the other 167 compounds, including crizotinib and cabozantinib (Fig. 1b). Given that the top known targets of ESK981, VEGFR-1 and VEGFR-2, are not endogenously expressed in prostate cancer cells, this suggested that ESK981 had another uncharacterized mechanism of action in this setting.
The viability of diverse prostate cancer cell lines in response to ESK981 was therefore analyzed in long-term survival assays. ESK981 exhibited growth inhibitory IC50 values ranging from 37 to 207 nM across cell lines, including AR-positive (VCaP, LNCaP, 22RV1, C4-2B, LNCaP-AR) and AR-negative (PC3, DU145). In contrast, cabozantinib and crizotinib exhibited micromolar IC50 values (Fig. 1c, Extended Data Fig. 1a-b). In two enzalutamide-resistant cell lines, LNCaP-AR and CWR-R1, ESK981 remained efficacious (Fig. 1d). ESK981 sensitivity was further tested using a 3D-spheroid culture system25,26, and ESK981 produced a more robust inhibitory effect at lower concentrations than cabozantinib in VCaP 3D-spheroid culture (Fig. 1e).
The effect of ESK981 on other cellular functions was also assessed. Cell cycle analysis indicated that ESK981 induced a dose-dependent G2/M-phase arrest in all prostate cancer cell lines tested (Extended Data Fig. 1c-d). In comparison with other inhibitors in VCaP cells (cabozantinib, crizotinib, enzalutamide), ESK981 demonstrated greater G2/M arrest potential at a lower concentration. Additionally, ESK981 inhibited invasion in a dose-dependent manner in prostate cancer cells (Extended Data Fig. 1e).
To determine whether ESK981-mediated growth inhibition in vitro translated into anti-tumor effects, the efficacy of ESK981 in mouse xenograft models of prostate cancer was assessed. VCaP cells were chosen for initial experiments as they harbor the TMPRSS2:ERG gene fusion and AR amplification, frequent molecular aberrations in patients with advanced CRPC27. A castration-resistant VCaP tumor-bearing xenograft mouse model was generated to mimic clinical disease progression (Extended Data Fig. 2a). A previous study indicated that ESK981 treatment at 30 mg/kg twice daily for 28 consecutive days was well-tolerated with no apparent toxicity in tumor-bearing mice8. Thus, we started ESK981 at a regimen of 30 mg/kg or 60 mg/kg once daily for five days on/two days off for four weeks. ESK981 treatment resulted in significant dose-dependent growth inhibiton of castration-resistant VCaP xenografts, as well as reductions in tumor weight (Fig. 2a) and cell proliferation, assessed by MKI67/Ki67 immunohistochemistry (IHC) (Extended Data Fig. 2b). While minor temporary body weight losses were observed in the ESK981 60 mg/kg group following dosing, the body weights of 30 mg/kg ESK981-treated mice were not affected (Fig. 2a).
The efficacy of 30 mg/kg ESK981 was thus assessed in three additional prostate cancer xenograft models: MDA-PCa-146-12, an AR-positive patient-derived xenograft (PDX); DU145, an AR-negative prostate cancer cell line; and MDA-PCa-146-10, an AR-negative and neuroendocrine prostate cancer PDX. Significant inhibition of tumor growth by ESK981 was observed in all three models (Fig. 2b-d), and this was mirrored by significant decreases in tumor weights and Ki67 IHC (Extended Data Fig. 2c-d). Across the three models, no significant body weight loss was observed (Fig. 2b-d). Additionally, hematoxylin and eosin (H&E) staining showed that the dose-dependent vacuolization phenomenon was recapitulated in vivo in ESK981-treated VCaP tumors (Fig. 2e). Importantly, even at a 50 mg/kg dose of ESK981 five days per week, no abnormalities in major organ function or histology of various viceral organs were observed (Extended Data Fig. 3a-e). No organs were found to have the same tissue vacuolization morphology observed in tumors (Extended Data Fig. 3e-f). ESK981 is, therefore, well-tolerated in vivo and possesses broad anti-tumor potential for major subtypes of advanced prostate cancer, while also triggering a tumor-specific vacuolization morphology.
ESK981 inhibits autophagic flux in prostate cancer cells
Autophagy is an evolutionarily conserved, orderly process of degradation and destruction of cellular components. As part of this process, double-membraned vesicles called autophagosomes are formed following the engulfment of cytoplasmic constituents; autophagosomes then fuse with lysosomes to form autolysosomes and initiate degradation and recycling of cargo28. The nature of the ESK981-associated cellular vacuolization was investigated in combination with autophagic pathway inhibitors. The early autophagosome inhibitor 3-methyladenine (3-MA) partially negated the vacuolization effects of ESK981 in DU145 cells (Fig. 3a). The anti-malarial drug chloroquine (CQ) and the vacuolar-type H+-ATPase inhibitor bafilomycin A1 (BF), inhibitors of autophagy and lysosomal fusion29, completely blocked the vacuolization effects of ESK981 (Fig. 3a), suggesting that these vacuoles were linked to autophagic processes.
To measure the ability of ESK981 to impact autophagosome content, we employed the CYTO-ID® assay, which measures autophagosomes with minimal lysosomal staining30. Data showed dose-dependent inductions of autophagosomes by ESK981 in LNCaP, VCaP (Fig. 3b), and DU145 cells (Extended Data Fig. 4a). Levels of autophagosome induction by ESK981 (300 nM) were higher than the mTOR inhibitor rapamycin (10 μM), a well-known autophagy activator (Fig. 3b). Analysis of ESK981 and two compound libraries (154 autophagy-related compounds and 167 TKIs) at equivalent concentrations found that ESK981 was the top inducer of autophagosomes (Fig. 3c). The other top candidates were mTOR inhibitors and well-known kinase inhibitors reported to possess autophagosome induction capability. As a further measure of autophagosome levels, the state of MAP1LC3A/B (LC3) was assessed29. During autophagy, the cytosolic form of LC3 (LC3-I) gets recruited to the phagophore (the autophagosome precursor) membrane where it is conjugated to phosphatidylethanolamine (PE) to generate the lipidated form, LC3-II. Numerous prostate cancer cell lines were tested and exhibited an increase in the total level of LC3 lipidation in an ESK981 dose-dependent manner (Fig. 3d). Increased LC3-II levels were seen within three hours of 300 nM ESK981 treatment (Extended Data Fig. 4b). In contrast, cabozantinib did not induce LC3-II, even after 1 μM treatment for 24 hours. Likewise, crizotinib did not increase LC3-II levels at 300 nM and only weakly induced LC3-II at 1 μM (Extended Data Fig. 4c).
Much of our fundamental understanding of the autophagic process comes from seminal work in yeast31. To determine whether ESK981 impinged upon a conserved autophagic process, we utilized a drug-sensitive yeast strain (pdr5Δ) and analyzed Atg8, the yeast homolog to LC3. ESK981 treatment resulted in increased lipidated Atg8 levels (Extended Data Fig. 4d) similar to the results observed in prostate cancer cells with LC3, indicating ESK981 has a common target in yeast. However, eukaryotic-like tyrosine kinases are absent in yeast32, which suggested that ESK981-induced autophagosome levels were independent of tyrosine kinase inhibition and likely involved targeting of a different kinase class.
To further analyze autophagosome levels in prostate cancer cells, GFP-LC3 puncta formation was monitored after various ESK981 treatment durations. ESK981 induced LC3 puncta formation in DU145 cells within one hour (Fig. 3e), prior to ESK981-induced vacuole formation, which was only observed after four hours. To better visualize subcellular components, transmission electron microscopy (TEM) was performed on DU145 cells and demonstrated mostly clear vacuoles adjacent to double-membraned autophagic vesicles after 24 hours of ESK981 (Fig. 4a). Vacuoles containing cellular materials were also observed by TEM of ESK981-treated tumors (Fig. 4b). Collectively, these results suggested that the large empty vacuoles induced by ESK981 were unlikely to be autophagosomes. Indeed, immunofluorescence showed that ESK981-induced vacuoles stained positive for the lysosomal marker LAMP1 (Fig. 4c). LysoTracker Green assays confirmed that ESK981 increased lysosome quantity, and this response was neutralized by the vacuolar-type H+-ATPase inhibitor BF (Fig. 4d).
Autophagy is a dynamic process, and increased autophagosome and lysosome levels could be due to either activation or inhibition of autophagic flux. To measure autophagic flux, we utilized a GFP-LC3-RFP-LC3ΔG probe developed by Mizushima and colleagues33. This probe allows for direct assessment of autophagic flux without being combined with lysosomal inhibitors. When expressed in cells, the GFP-LC3-RFP-LC3ΔG probe is cleaved into a degradable fragment, GFP-LC3, and a stable fragment, RFP-LC3ΔG. A decrease of the GFP/RFP ratio indicates the occurrence of high autophagic flux. In GFP-LC3-RFP-LC3ΔG-expressing PC3 or DU145 cells, the mTORC inhibitor Torin1 decreased the GFP/RFP ratio, suggesting high autophagic flux (Fig. 4e). Conversely, ESK981, CQ, and BF all showed low autophagic flux (Fig. 4e). These results indicate that increased autophagosome and lysosome signals are likely due to decreased autophagic flux with ESK981 treatment.
To further determine the essential regulators of ESK981-induced autophagosome and lysosome accumulation, several autophagic pathway regulators were investigated. ULK1, Beclin1, FIP200, ATG5, and ATG7 were targeted with siRNA in LNCaP and VCaP cells, and only ATG5 or ATG7 inhibition demonstrated consistent blockage or reduction of ESK981- or sunitinib-induced LC3 lipidation (Extended Data Fig. 4e). The association between ESK981-induced effects and autophagy was further validated by genetic targeting of Atg528. Vacuolization was significantly induced by ESK981 in wild-type mouse embryonic fibroblasts (MEFs) but attenuated in autophagy-deficient Atg5−/− MEFs (Fig. 4f). As expected, ESK981-induced LC3 lipidation was abolished in Atg5 knockout MEFs (Fig. 4f). These results propose that ESK981-induced autophagosome and lysosome accumulations, associated with a vacuolization morphology, are ATG5-dependent and result from autophagic flux inhibition.
ESK981 increases CXCL10 and potentiates anti-PD-1 responses
Autophagy inhibition has been linked with cellular secretory processes, including release of cytokines into the tumor microenvironment15,17,34,35. Accordingly, in a human cytokine array, ESK981 significantly induced CXCL10 and, to a lesser extent, CCL2 in VCaP-conditioned media (Fig. 5a). Comparing ESK981 to the TKI and autophagy-linked compound libraries, ESK981 was the top inducer of CXCL10, as analyzed by ELISA (Fig. 5b). Well-known autophagy regulators rapamycin and Torin1 only marginally increased CXCL10 secretion (Extended Data Fig. 5a). CXCL10 expression is physiologically regulated by interferon gamma (IFNγ)36. In multiple human prostate cancer cell lines, ESK981 enhanced expression of CXCL10 in the presence of IFNγ (Extended Data Fig. 5b), suggesting that the ESK981-mediated autophagic process may play a role in immune response.
CXCL10 has been implicated in T cell recruitment in melanoma37, implying that ESK981 may exert an immune response in prostate cancer through upregulation and secretion of this chemokine38,39. To investigate this premise, a mouse syngeneic prostate cancer model driven by human MYC expression (Myc-CaP)40,41 was used. In Myc-CaP cells, ESK981 had a growth inhibitory IC50 value of 35 nM, compared to 2.3 μM for crizotinib and 263 nM for cabozantinib (Extended Data Fig. 5c). Accumulation of autophagosomes by ESK981 was recapitulated in Myc-CaP cells (Extended Data Fig. 5d), and autophagic flux was inhibited in GFP-LC3-RFP-LC3ΔG-expressing Myc-CaP cells after ESK981, CQ, or BF treatment (Extended Data Fig. 5e). We further generated Atg5 knockout Myc-CaP cells, and consistent with the data in human prostate cancer cell lines, Atg5 knockout in Myc-CaP cells significantly blocked ESK981-induced LC3 lipidation (Extended Data Fig. 6a). The lysosome vacuolization morphology and autophagosome levels were also decreased compared to parental cells (Extended Data Fig. 6b-c). Similar to human prostate cancer cell lines, ESK981 was able to enhance IFNγ regulation of CXCL10 secretion and expression (and Cxcl9) in Myc-CaP cells (Extended Data Fig. 6d-f). However, this phenomenon was diminished in Atg5 knockout cells, further suggesting that CXCL10 levels are directly impacted by the autophagy pathway. Combined, these data indicate that the mechanism of action of ESK981 is consistent between human and mouse prostate cancer models.
Myc-CaP tumors were next established in immunocompetent FVB mice and treated with vehicle or ESK981 (15 mg/kg, 30 mg/kg). Tumor burden, visualized by bioluminescence intensity, indicated that five out of ten tumors were bioluminescent-negative in the 30 mg/kg group (Fig. 5c). ESK981-treated tumors demonstrated dose-dependent growth inhibition and significantly increased doubling time (Fig. 5d). In addition, analysis of mRNA levels of the T cell marker Cd3 showed a dose-dependent upregulation in ESK981-treated tumors, as did Cxcl10 (Fig. 5e). Flow cytometry demonstrated a significant increase in the infiltration of immune effector CD8+ T cells, CD4+ T cells, and total CD3+ T cells in both CD45+ lymphocytes and Myc-CaP tumors after ESK981 treatment (Fig. 5f). The ESK981-induced tumor-infiltrating CD8+ and CD4+ T cells produced higher levels of IFNγ and tumor necrosis factor α (TNFα) (Fig. 5g), indicating ESK981 both increases T cell infiltration and enhances activation. Additionally, the growth inhibitory effect mediated by ESK981 was examined by blocking the CXCL10 pathway or T cells. Myc-CaP tumor proliferation was partially negated by neutralizing anti-CXCR3 (the receptor for CXCL10 and CXCL9) antibody (Fig. 5h). Of note, combined CD4+ and CD8+ T cell depletion in ESK981-treated Myc-CaP tumors significantly, but not completely, increased tumor volume, suggesting that ESK981’s anti-tumor effect is largely dependent on T cells (Fig. 5i). Since ESK981 also exerts anti-tumor effects in human prostate cancer xenografts in immune-deficient mice (Fig. 2a-d), these combined data suggest that ESK981’s anti-tumor effect is maximized in the immunocompetent tumor environment through enhanced infiltration and activation of T cells.
These results prompted us to examine whether ESK981 was able to modulate the efficacy of checkpoint blockade immunotherapy. Tumors were established and treated with vehicle, 15 mg/kg ESK981, anti-PD-1 (Pdcd1), or a combination of ESK981 and anti-PD-1 (Fig. 6a). Anti-PD-1 demonstrated a tumor inhibitory effect that was strongly enhanced by ESK981 co-treatment (Fig. 6b); the slight increase in average tumor volume near day 30 in the combination group was due to one outlier tumor that grew and reached endpoint. Individual tumor weight was markedly decreased in the ESK981 and anti-PD-1 combination group compared with ESK981 monotherapy (Fig. 6b). Combination ESK981 and anti-PD-1 treatment was well-tolerated and had no adverse impact on body weights of tumor-bearing mice (Fig. 6c). ESK981-treated groups showed elevated LC3 lipidation, confirming autophagosome accumulation in tumors (Fig. 6d). Consistently, Cd3 mRNA levels were upregulated in both the ESK981 solo and combination treatment groups (Fig. 6e). The increased infiltration of CD3+ T cells into Myc-CaP tumors was confirmed by Cd3e RNA in situ hybridization (ISH), with anti-PD-1 and ESK981 each increasing CD3+ T cell trafficking in the tumor microenvironment and combination treatment having the largest increase over vehicle (Fig. 6e); a similar effect was observed for Cxcl10 RNA ISH (Fig. 6f). Immune activation was further confirmed by transcriptomic analysis from individual tumors, which showed upregulation of inflammatory responses and Cxcl10 with combination treatment (Extended Data Fig. 7).
Several murine syngeneic cancer cell lines in addition to those from the prostate lineage were analyzed in viability assays (Extended Data Fig. 8a). ESK981 treatment resulted in significant increases in autophagosome levels in murine cancer cell lines originating from different tissue types that included lung, melanoma, ovarian, pancreas, kidney, and breast (Extended Data Fig. 8b). Increased Cxcl10 expression in the presence of mouse IFNγ was significantly enhanced by ESK981 in most cell lines tested (Extended Data Fig. 8c). In the 4T1 breast cancer model, which is resistant to immune checkpoint inhibitors, we demonstrated that ESK981 sensitized tumor cells to anti-PD-1, resulting in significant reduction in tumor burden and increased survival rates with combination ESK981 and anti-PD-1 treatment (Extended Data Fig. 9). Taken together, these results suggest that ESK981 increases CXCL10 secretion by blocking autophagic flux in tumor cells, resulting in T cell recruitment to the tumor microenvironment and enhanced therapeutic benefit of anti-PD-1 therapy in prostate and other cancers.
ESK981 directly targets PIKfyve to inhibit autophagy
Interestingly, RNA-seq analysis of ESK981-treated VCaP cells found that several genes regulated by ESK981 belonged to lipid, cholesterol, and steroid metabolic processes (Fig. 7a), indicating that ESK981 plays a role in cellular lipid production. Untargeted lipidomic analysis demonstrated that phosphatidylethanolamine (PE) was one of the major lipids increased by ESK981 (Fig. 7b). As mentioned above, PE is an important membrane component for phagophores, autophagosomes, and autolysosomes, and increased intracellular PE levels can positively regulate autophagosome biogenesis42. These results suggested that ESK981 directly targeted a factor involved in cellular lipid metabolism to impact autophagy.
To test whether ESK981 inhibited a lipid kinase, we performed an affinity binding screen for 22 phosphoinositide kinases and found ESK981 exhibited 100% inhibition for the lipid kinase PIKfyve (Fig. 7c). The dissociation constant (Kd) for ESK981 against PIKfyve was 12 nM, while those for PIP5K1C, PIP5K1A, and PIK3CA were 210 nM, 230 nM, and >10 μM, respectively (Fig. 7d). PIKfyve has been reported to maintain lysosome homeostasis; direct inhibition of PIKfyve in mammalian cells, or the yeast homolog Fab1, resulted in a vacuolization morphology and decreased autophagic flux11,43-45. In order to determine whether PIKfyve was responsible for ESK981-associated vacuolization, individual lipid kinases were targeted, and only PIKFYVE knockdown generated a vacuolization phenotype resembling ESK981 treatment (Fig. 7e, Extended Data Fig. 10a-b). Autophagosome levels increased after PIKFYVE knockdown to levels similar to those induced by ESK981 in prostate cancer cells (Fig. 7f-g). Accumulation of autophagosome content and vacuolization morphology after Pikfyve knockdown were confirmed in additional types of murine cancer cell lines (Extended Data Fig. 10c-d). The cellular target engagement of ESK981 on PIKfyve was confirmed by a cellular thermal shift assay in VCaP cells, with the known PIKfyve inhibitor apilimod serving as a positive control (Fig. 7h). We further confirmed that knockdown of PIKFYVE increased CXCL10 expression and enhanced IFNγ-mediated responses in human prostate cancer cells (Fig. 7i). We, therefore, identify PIKfyve as a direct target of ESK981 that affects cellular lipid metabolism and autophagic flux, thereby increasing CXCL10 expression.
Pikfyve genetic inhibition enhances anti-PD-1 responses
To investigate whether PIKfyve inhibition is reponsible for the anti-tumor effects and immune responses mediated by ESK981, doxycycline-inducible Pikfyve knockdown (shPikfyve) Myc-CaP cells were generated. Upon Pikfyve knockdown, Myc-CaP cells displayed a vacuolization morphology resembling ESK981 treatment (Fig. 8a). Tumor proliferation was measured with shPikfyve Myc-CaP cells in both immune-competent (FVB) and immune-deficient (NSG) mice (Fig. 8b). Tumor proliferation and waterfall plots of individual mice showed that Pikfyve knockdown had greater tumor inhibitory effects in FVB than NSG mice (Fig. 8c-d). Similar to ESK981, these results suggest that PIKfyve inhibition can impact tumor growth in immunodeficient settings, but a competent immune environment can maximize its anti-tumor properties.
Finally, the effects of Pikfyve knockdown in combination with anti-PD-1 were examined using the Myc-CaP model (Fig. 8e). Similar to ESK981, Pikfyve knockdown resulted in significant tumor inhibition in FVB mice, and combination treatment with anti-PD-1 further enhanced the effect (Fig. 8f). Combination anti-PD-1 and Pikfyve knockdown significantly increased complete tumor regression, defined as the percent cure rate, of Myc-CaP tumors from 0 to 40% (Fig. 8f).
DISCUSSION
This study identifies ESK981 as an effective anti-tumor agent in multiple models of advanced prostate cancer and establishes PIKfyve as a novel target of ESK981. PIKfyve inhibition blocks autophagic flux, leading to increased CXCL10 expression and recruitment of T cells into the tumor microenvironment. PIKfyve inhibition ultimately converts prostate cancers from immune-cold to immune-hot, thereby increasing their susceptibility to immune checkpoint blockade (Fig. 8g). As a MTKI, ESK981 could potentially target PIKfyve in tumor cells as well as other known kinase targets (e.g., VEGF receptors)8 in the tumor microenvironment important for neo-angiogenesis, thus inhibiting multiple essential targets with one compound. Since anti-angiogenic agents were also reported to be effective in enhancing immune checkpoint inhibitor response46, we used genetic inhibition to verify that direct targeting of Pikfyve itself is sufficient to block prostate cancer proliferation and enhance anti-PD-1 therapy. Whether PIKfyve plays a role in tumor angiogenesis is not known.
Molecular analysis uncovered the interesting finding that ESK981-induced autophagosome accumulation was recapitulated in yeast, even though eukaryotic-like tyrosine kinases are absent32. A subsequent kinase screen led to the discovery of the lipid kinase PIKfyve as the mediator of ESK981-induced cellular vacuolization and inhibition of authophagic flux. These findings are consistent with results obtained from inhibition or genetic inactivation of PIKfyve in mammalian cells, or the orthologue Fab1 in yeast 43,47-49. Genetic inactivation of Pikfyve in Myc-CaP cells in our study excluded the potential contributions of other known targets of ESK981 in mediating autophagy inhibition in prostate cancer. Although previous studies have analyzed the anti-tumor effects of PIKfyve inhibition, such as in B cell non-Hodgkin’s lymphoma11, our study is the first to demonstrate that PIKfyve is a therapeutic target in advanced prostate cancer.
Autophagy inhibition has been intensely studied and shown to prevent tumor progression in multiple cancer types34,50-52. For example, in a genetically engineered mouse model, prostate-specific deletion of Atg7 decreased Pten-deficient prostate tumor progression53. Autophagy has also been shown to be a treatment resistance and survival mechanism, including mediating enzalutamide resistance in CRPC50. As supported by our data, studies have emerged detailing the interplay between autophagy inhibition and anti-tumor immune responses15-18. As a recent example, tumor-intrinsic autophagy inhibition by VPS34-targeting recruits T and NK cells into the tumor microenvironment through increased expression of CXCL10 and CCL5 in multiple syngeneic murine models, resulting in enhanced therapeutic benefit of anti-PD-1/PD-L115. Moreover, host autophagy can support tumor growth; systemic deletion of Atg7 in mice significantly reduced the growth of melanoma models through degradation of arginine34. Host deletion of Atg7 also increased circulating proinflammatory cytokine levels, including CXCL10, and promoted T cell infiltration in tumors with high mutational burden54.
Prostate cancers are poorly immune-infiltrated, and immune checkpoint inhibitor monotherapy in unselected advanced prostate cancer patient populations has had minimal success. In phase III trials, the CTLA4 inhibitor ipilimumab failed to improve overall survival, while the PD-1 inhibitor pembrolizumab had low response rates (3-5%) in metastatic CRPC (mCRPC) patients19,20,55. In the 5-10% of advanced prostate cancers harboring mismatch repair deficiency/microsatellite instability and the 5-7% of patients harboring CDK12 loss-of-function mutations, upregulated mutation-associated neoantigens render these tumors more susceptible to immunotherapy, yet only 50% response rates are achieved56-59. Thus, overcoming resistance to immune checkpoint blockade-based therapies and increasing their objective response rates remains an important challenge. Our study establishes the first proof-of-concept to design clinical trials using PIKfyve inhibition in combination with immune checkpoint blockade. Based on these collective findings, phase II clinical trials of ESK981 alone (NCT03456804) or in combination with nivolumab (NCT04159896) in mCRPC are underway.
METHODS
Cell culture
VCaP, LNCaP, 22RV1, C4-2B, PC3, DU145, Renca, Myc-CaP, TRAMP-C2, B16F10, LLC, and 4T1 cell lines were obtained from ATCC. The parental LNCaP-AR cell line was provided by Charles Sawyers (Memorial Sloan Kettering Cancer Center)60. Enzalutamide-resistant LNCaP-AR and CWR-R1 cells were grown in RPMI-1640 supplemented with 5 or 20 μM enzalutamide, respectively. MEF Atg5+/+ and Atg5−/− cells were provided by RIKEN BioResource. ID8 and Ae17 were purchased from Sigma-Aldrich; PAN02 was obtained from the NCI Division of Cancer Treatment & Diagnosis Tumor Repository. All cells were grown in 5% CO2 incubators, regularly checked for mycoplasma, and authenticated.
Compounds
ESK981 was initially synthesized by K.D. Subsequently, ESK981 was provided by Esanik Therapeutics which licensed the compound from Teva Pharmaceuticals. Tyrosine kinase inhibitor (TKI) library (Cat.# L1800), autophagy compound library (Cat.# L2600), and other compounds were purchased from Selleckchem.
TKI library viability screening
DU145 single-cell suspensions were seeded into 96-well plates at a density of 1,000 cells/well, 16 hours prior to drug treatment. TKI library was added at 300 nM, and long-term survival was determined after 14 days of drug incubation. Viable cells were fixed with 4% formaldehyde and stained with 1% crystal violet. Percent viability was calculated by normalizing to DMSO control. Detailed screening parameters are in Supplementary Table 1.
Long-term survival assay and IC50 calculation
Single-cell suspensions were seeded into 96-well plates at a density of 1,000-30,000 cells/well. Long-term survival was determined after 14 days of drug incubation. Viable cells were fixed with 4% formaldehyde and stained with 1% crystal violet. IC50 was calculated using GraphPad Prism.
Autophagy detection for compound screening
10,000 cells were plated in 96-well plates and incubated with 300 nM of the various compounds for 24 hours. Autophagy activities were detected with CYTO-ID® Autophagy detection kit (Cat.# ENZ-KIT175, Enzo Life Sciences) according to the manufacturer’s instructions, with fluorescence intensity measured on a TECAN M1000 plate reader. Autophagosome induction factor was calculated according to the manufacturer’s instructions.
Autophagic flux detection
PC3 and DU145 cells were stably transfected with pMRX-IP-GFP-LC3-RFP-LC3ΔG (Addgene #84572), and single-cell clones were validated to avoid homologous recombination between the two LC3 fragments during retrovirus infection. For autophagic flux detection, 10,000 cells were plated in 96-well plates and incubated with various compounds in complete medium for 24 hours. GFP and RFP intensities were measured on a TECAN M1000 plate reader.
RNA in situ hybridization (ISH)
RNA ISH was performed as previously described61. Briefly, the RNAscope 2.5 HD BROWN Assay (Cat.# 322300; Advanced Cell Diagnostics) was used, and the target mRNA were detected by Mm-Cd3e (Cat.# 314721, Advanced Cell Diagnostics) and Mm-Cxcl10 (Cat.# 408921, Advanced Cell Diagnostics) probes. Brown punctate signals indicated positive RNA ISH staining. Positive and negative control probes, respectively, were Mm-Ppib (mouse peptidylprolyl isomerase B) and DapB (bacterial dihydrodipicolinate reductase).
Immunohistochemistry
Immunohistochemistry (IHC) was performed on FFPE tumor tissue sections using anti-Ki-67 (Cat.# 790-4286, Ventana Medical Systems). IHC was carried out using an automated protocol developed for the Benchmark XT automated slide staining system (Ventana Medical Systems) and was detected using ultraView Universal DAB detection kit (Cat.# 760-500, Ventana Medical Systems). Hematoxylin II (Cat.# 790-2208, Ventana-Roche) was used as counterstain.
Cytokine array
Cells were seeded in 6-well plates, and conditioned medium was collected after 24 hours of drug incubation. Cytokine expression was determined by proteome profiler mouse XL cytokine array (Cat.# ARY028, R&D System) or proteome profiler human XL cytokine array (Cat.# ARY022, R&D System) according to the manufacturer’s instructions.
ELISA
Conditioned medium was collected after 24 hours of drug incubation. ELISA was performed using human (Cat.# KAC2361, ThermoFisher) or mouse (Cat.# ab214563, Abcam) CXCL10 ELISA kits according to the manufacturer’s instructions.
Cell cycle analysis
Cells were seeded in 6-well plates and treated with various drugs for 72 hours. Single cells were fixed with 70% ethanol, stained with propidium iodine, and cell cycle was analyzed by flow cytometry.
Matrigel invasion assay
2-5×105 cells were seeded onto 8-μm Matrigel-coated fluoroblok transwells with serum-free medium and various concentrations of ESK981. Medium containing 10% FBS in the lower chamber served as a chemoattractant. After 24 hours, invaded cells were stained with calcium AM green at 37°C, and fluorescence intensity was quantified with a TECAN M1000 plate reader.
3D spheroids
Nuclear RFP-expressing VCaP cells were seeded in ultralow attachment 96-well plates and spun at 1000 rpm for 10 minutes to pellet cells. Spheroids were formed after 3 days of incubation in a cell culture incubator, and then treatment was started. Red fluorescence intensity was monitored by IncuCyte ZOOM.
Yeast autophagy detection
The yeast strains used in this study were YAB499 (SEY6210, pho13Δ pho8Δ60, pdr5Δ::Kan). Antisera to Atg8 and Pgk1 were generous gifts from Dr. Jeremy Thorner (University of California, Berkeley). Protein extraction and immunoblot were performed as previously described62. Cells were treated with 3 μM ESK981, 3 μM cabozantinib, or the equivalent amount of DMSO as control for the indicated times.
Immunoblotting, immunofluorescence, and antibodies
Cell lysates were harvested in Pierce RIPA buffer (Thermo Scientific) containing protease (Roche) and phosphatase (Millipore) inhibitor cocktails. Protein concentrations were measured using the DC Protein Assay (Bio-Rad). Denatured lysates were separated on NuPage 4-12% Bis-Tris Midi gels (Novex) and transferred to 0.45-μm PVDF membrane (Immobilon) using a TransBlot Turbo dry transfer machine (Bio-Rad). The membrane was incubated in blocking buffer (5% non-fat dry milk, Tris-buffered saline with 0.1% Tween-20) for 1 hour at room temperature. The membrane was then incubated with the indicated antibodies for 1 hour at room temperature, followed by overnight incubation at 4°C. Chemiluminescent detection with ECL Prime (Amersham) and HyBlot CL autoradiography film (Denville Scientific) was used to visualize protein signals. Antibodies used for immunoblotting were: ATG5 (Cat.# 12994S, Cell Signaling Technology), ATG7 (Cat.# 8558S, Cell Signaling Technology), ULK1 (Cat.# 8054S, Cell Signaling Technology), Beclin1 (Cat.# 4122S, Cell Signaling Technology), FIP200 (Cat.# 12436S, Cell Signaling Technology), LC3A/B (Cat.# 12741S, Cell Signaling Technology), PIKfyve (Cat.# AF7885, R&D Systems), and GAPDH (Cat.# 3683S, Cell Signaling Technology). Antibodies were used at dilutions suggested by the manufacturers.
For LAMP1 immunofluorescence, cells were seeded on coverslips overnight and treated with 300 nM ESK981 for 24 hours. Coverslips were fixed with 10% paraformaldehyde, permeabilized with 10% saponin, blocked with 10% goat serum, and stained with LAMP1 (Cat.# 9091, Cell Signaling Technology) and fluorescently-labelled secondary antibodies. Images were obtained with a Nikon A1 confocal microscope.
For GFP-LC3 confocal imaging, GFP-LC3-expressing DU145 cells were seeded on coverslips overnight and treated with 300 nM ESK981 for various time points. Coverslips were fixed with 10% paraformaldehyde. Images were obtained with a Nikon A1 confocal microscope.
RNA isolation and quantitative real-time PCR (qPCR)
Total RNA was extracted from cells or tissue using the miRNeasy mini kit (Qiagen), and cDNA was synthesized from 1 μg total RNA using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). qPCR was performed using Fast SYBR Green Master Mix (Applied Biosystems) on the ViiA7 Real-Time PCR System (Applied Biosystems). Target mRNA expression was quantified using the ΔΔCt method and normalized to GAPDH; qPCR primer sequences are listed in Supplementary Table 2.
RNA interference and short hairpin RNA
For transient knockdown experiments, cells were seeded in 6-well plates and transfected with 100 nM ON-TARGETplus Human SMARTpool siRNAs (Thermo Scientific) targeting PIKFYVE (Cat.# L-005058-00-0005), PIP5K1C (Cat.# L-004782-00-0005), PIK3CA (Cat.# L-003018-00-0005), or non-targeting control pool (Cat.# D-001810-10-50) using Lipofectamine® RNAiMAX (Invitrogen) according to the manufacturer’s instructions. For stable doxycycline-inducible shPikfyve Myc-CaP cells, a SMARTvector lentiviral shRNA construct encoding a Pikfyve targeting sequence (TGGTGTCTGCGCCTAAATG) was used to infect Myc-CaP cells, and positively-infected cells were selected by puromycin.
LysoTracker Green flow cytometry analysis
Cells were grown in 6-well plates and treated with various drugs. After 24 hours, cells were stained with LysoTracker® Green DND-26 (Invitrogen), and green fluorescence signal was analyzed by flow cytometry.
Cellular thermal shift assay
The ability of compounds to interact with, and thereby stabilize the target in intact cells, was analyzed essentially as previously described63,64. Briefly, VCaP cells were treated with DMSO, ESK981 (1 μM), or apilimod (1 μM) for 2 hours at 37°C and 5% CO2, and 1×106 single-cell suspensions were diluted into 50 μl of PBS containing protease inhibitor. Cell suspensions were then incubated in a PCR thermal cycler at various temperatures for 2 cycles of 3 minutes heating followed by 3 minutes cooling at room temperature. Cells were lysed by three cycles of freeze-thawing using liquid nitrogen. Twenty μl of the soluble fraction was analyzed by western blot.
Human prostate cancer xenograft models
The University of Michigan (U-M) Institutional Animal Care & Use Committee approved all in vivo studies. Four- to six-week old male CB17 severe combined immunodeficiency (SCID) mice were procured from the U-M breeding colony. Subcutaneous tumors were established at both sides of the dorsal flank. Tumors were measured biweekly at minimum using digital calipers following the formula (π/6) (L×W2), where L=length and W=width of tumors. At the end of the studies, mice were sacrificed and tumors extracted and weighed. For the VCaP castration-resistant model, 3×106 VCaP cells were injected in serum-free medium with 50% Matrigel (BD Biosciences). Once tumors reached ~200 mm3, tumor-bearing mice were castrated. Once tumors grew back to the pre-castration size, mice were randomized and treated with 30 mg/kg ESK981, 60 mg/kg ESK981, or vehicle (ORA-PLUS) by oral gavage 5 days/week. For the DU145 model, 1×106 DU145 cells were injected in serum-free medium with 50% Matrigel. When tumors reached ~100 mm3, tumor-bearing mice were randomized and treated with 30 mg/kg ESK981 or vehicle (ORA-PLUS) by oral gavage 5 days/week.
Prostate patient-derived xenograft (PDX) models
The University of Texas M.D. Anderson Cancer Center PDX series has been previously described65. PDXs were derived from men with CRPC undergoing cystoprostatectomy65. MDA-PCa-146-12 and 146-10 PDX were derived from a CRPC patient diagnosed with Gleason 5+4=9 prostate adenocarcinoma. Histopathological evaluation of the cystoprostatectomy specimen demonstrated mixed prostatic adenocarcinoma and neuroendocrine carcinoma. MDA-PCa-146-12 was derived from a specimen obtained from the left bladder wall and demonstrated conventional adenocarcinoma (AR+), while MDA-PCa-146-10 was derived from the bladder wall and had neuroendocrine carcinoma morphology. PDXs were maintained in male SCID mice by surgically implanting 2 mm3 tumors coated with 100% Matrigel to both flanks. Once tumors reached 100-200 mm3 in size, mice were randomized and divided into different treatment groups receiving 30 mg/kg ESK981 or vehicle (ORA-PLUS) by oral gavage 5 days/week.
Syngeneic murine prostate cancer models
MYC-driven murine prostate cancer cells (Myc-CaP) were injected at a density of 1×106 subcutaneously into both flanks of 6-week old male FVB mice (Charles River Laboratories) in serum-free medium with 50% Matrigel. When tumors reached ~50 mm3, tumor-bearing mice were randomized and treated with 15 mg/kg or 30 mg/kg ESK981 or vehicle (ORA-PLUS) by oral gavage 5 days/week.
For the T cell depletion study, 200 μg mouse CD4 (Cat.# BE0003-1, BioXcell), 200 μg CD8 (Cat.# BE0117, BioXcell), or 400 μg isotype control (Cat.# BE0090, BioXcell) were given 3 days prior to Myc-CaP cell injection, and dosing was maintained at 2 days/week by intraperitoneal injection (i.p.). When tumors reached ~50 mm3, tumor-bearing mice were randomized and treated with 15 mg/kg ESK981 or vehicle by oral gavage 5 days/week.
For the ESK981 and anti-CXCR3 combination study, 15 mg/kg ESK981 or vehicle were given 5 days/week by oral gavage, while anti-CXCR3 (Cat.# BE0249, BioXcell) or isotype control (Cat.# BE0091, BioXcell) were given at 100 μg/mouse 3 times/week by i.p.
For the ESK981 and anti-PD-1 combination study, 15 mg/kg ESK981 or vehicle were given 5 days/week by oral gavage, while anti-PD-1 (Cat.# BE0146, BioXcell) or isotype control (Cat.# BE0089, BioXcell) were given at 200 μg/mouse 3 times/week by i.p.
For shPikfyve studies, Myc-CaP shPikfyve cells were injected at a density of 2×106 subcutaneously into both flanks of 6-week old NSG or FVB mice in serum-free medium with 50% Matrigel. When tumors reached 100 mm3, tumor-bearing mice were randomized and treated with normal or doxycycline 625 mg/kg diet (Envigo). For the shPikfyve and anti-PD-1 combination study, when tumors reached 100 mm3, FVB tumor-bearing mice were randomized and treated with normal or doxycycline 625 mg/kg diet for 7 days, and then anti-PD-1 or isotype control were given at 200 μg/mouse 3 times/week in combination with normal or doxycycline diet.
Syngeneic murine breast cancer model
Breast cancer 4T1 luciferase-expressing cells were injected at a density of 0.5 ×106 subcutaneously into the right flank of 6-week old female BALB/c mice (Charles River Laboratories) in serum-free medium with 50% Matrigel. When tumors reached ~50 mm3, tumor-bearing mice were randomized and treated with vehicle, 30 mg/kg ESK981, anti-PD-1, or ESK981 and anti-PD-1 combination. ESK981 and vehicle control were given by oral gavage 5 days/week, and anti-PD-1 or isotype control were given at 200 μg/mouse 3 days/week by i.p.
Mouse blood chemistry
Whole blood was collected using BD Microtainer SST tubes, and serum was isolated by centrifugation at 7000 rpm for 10 minutes. Sera were submitted to the U-M ULAM Pathology Cores for Animal Research for liver and renal chemistry analysis.
Flow cytometry
Mononuclear cells were isolated from the subcutaneous tumor and stained with fluorescently-conjugated antibodies as previously described66. Briefly, to assess cytokine production, lymphocytes were incubated in RPMI-1640 containing 10% FBS, 5 ng/ml PMA, 500 ng/ml ionomycin, Brefeldin A (1: 1000), and Monensin (1: 1000) at 37°C for 4 hours, followed by extracellular staining at 4°C for 30 minutes. Intracellular staining was performed using Foxp3/Transcription Factor Staining Buffer Set (eBioscience) under the manufacturer’s protocol. Data collection and analyses were performed on a Fortessa (BD Bioscience) using BD FACS Diva software. The following antibodies were used: CD45 (Clone 30-F11, BD Biosciences), CD90.1 (Clone OX-7, BD Biosciences), CD3 (Clone 145-2C11, Thermo Fisher Scientific), CD8 (Clone 53-6.7, BD Biosciences), CD4 (Clone RM4-5, Thermo Fisher Scientific), IFNγ (Clone XMG1.2, BD Biosciences), TNFα (Clone MP6-XT22, BD Biosciences).
Transmission electron microscopy
Cells or fresh tissue were fixed with 2.5% glutaraldehyde in 0.1 M phosphate buffer, pH 7.4 for 24 hours at 4°C and then rinsed twice with 0.1 M phosphate buffer. The U-M Microscopy and Imaging core carried out sample embedding and imaging.
CRISPR Atg5 knockout Myc-CaP cells
Guide RNAs (sgRNAs) targeting the exons of mouse Atg5 were designed using the CRISPR Design tool (crispr.mit.edu, F. Zhang laboratory, MIT). Non-targeting sgRNA (sgNT) (forward: ACGTGGGGACATATACGTGT; reverse: ACACGTATATGTCCCCACGT) or Atg5 targeting sgRNA (sgAtg5) (forward: AAGAGTCAGCTATTTGACGT; reverse: ACGTCAAATAGCTGACTCTT) were cloned into lentiCRISPRv2 plasmid, a gift from Feng Zhang (Addgene, #52961), according to published literature67. Myc-CaP cells were transiently transfected with the sgNT or sgAtg5 plasmids. Post-transfection (72 hours), cells were subjected to puromycin selection for one week. Puromycin-resistant cells were resuspended into single cells and seeded into 96-well plates. One month later, Atg5 knockout clones were screened by western blot.
Gene expression analysis
RNA was extracted from cell lines or tissue using the QIAGEN RNA extraction kit. RNA quality was determined by the Bioanalyzer RNA Nano Chip. Myc-CaP xenograft tumors used the RiboErase selection kit (Cat.# KK8561, Kapa Biosystems), while the remaining samples used poly-A selection by Sera-Mag™ Oligo(dT)-Coated Magnetic Particles (Cat.# 38152103010150, GE Healthcare Life Sciences), and libraries were generated by KAPA RNA HyperPrep Kit (Cat.# KK8541, Roche Sequencing Solutions). RNA-sequencing was performed on the Illumina HiSeq™ 2500. Reads were aligned with the Spliced Transcripts Alignment to a Reference (STAR) to the mouse reference genome mm1068. Principal Component Analysis (PCA) was performed on variance-stabilizing transformation (vst) of read-count data using DESeq269. Gene differential expression analysis was carried out with edgeR70. Mouse gene set enrichment analysis (GSEA) was performed with WebGestalt analysis web tool at http://www.webgestalt.org.
Lipidomics
Details of sample preparation and identification for untargeted lipidomic profiling have been previously reported71. Lipids were extracted using a modified Bligh-Dyer method72. Extraction was carried out using a 2:2:2 volume ratio of water:methanol:dichloromethane at room temperature after spiking internal standard lipids (17:0LPC, 17:0PC, 17:0PE, 17:0PG, 17:0 ceramide, 17:0SM, 17:0PS, 17:0PA, 17:0TG, 17:0MG, d5-DG, d31-TG, and 17.0-20.4 PI). The organic layer was collected and dried completely under nitrogen. The organic dried extract containing lipids was further analyzed by liquid chromatography-mass spectrometry (MS)-based lipidomics. The dried lipid extracts were injected onto a 1.8-μm particle 50×2.1 mm id Waters Corporation Acquity HSS T3 column, which was heated to 55°C. A binary gradient system consisting of acetonitrile and water with 10 mM ammonium acetate (40:60, v:v) was used as eluent A. Eluent B consisted of water, acetonitrile, and isopropanol, both containing 10 mM ammonium acetate (5:10:85, v:v:v). The lipid extracts were reconstituted with a buffer B and injected to MS. The MS analysis alternated between MS and data-dependent MS2 scans using dynamic exclusion in both positive and negative polarity. As controls (QC) to monitor the profiling process, a pool of plasma and test plasma (a small aliquot from all test samples) were extracted and analyzed in tandem with experimental samples. These controls were incorporated multiple times into the randomization scheme such that sample preparation and analytical variability could be constantly monitored. Lipids were identified using LIPIDBLAST library73 (computer-generated tandem mass spectral library of 212,516 spectra covering 119,200 compounds from 26 lipid compound classes) by matching the product ion’s MS/MS data. MS data files were processed using MultiQuant 1.1.0.26 (Applied Biosystems/MDS Analytical Technologies). Identified lipids were quantified by normalizing against their respective internal standard. QC samples were used to monitor the overall quality of the lipid extraction and MS analyses and were mainly used to remove technical outliers and lipid species that were detected below the lipid class-based lower limit of quantification.
Lipid kinase competition assay
Lipid kinase competition assays for 22 lipid kinases, including clinically-relevant mutants, were performed using DiscoveRX KINOEscan® platform scanLIPID® panel. Detailed information is described on the DiscoveRX website (https://www.discoverx.com/technologies-platforms/competitive-binding-technology/kinomescan-technology-platform).
Kinase dissociation constant analysis
Quantitative binding constants (Kd) of ESK981 to PIKfyve, PIP5K1A, PIP5K1C, and PIK3CA were generated using KdELECT® platform (DiscoveRX). An 11-point dose-response of ESK981 (0.05-3000 nM) was used. Detailed information is provided on the DiscoveRX website (https://www.discoverx.com).
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Statistics and reproducibility
No data were excluded from the analyses. No statistical method was used to predetermine sample size. For all in vivo experiments, animals were randomly assigned to a treatment group after tumor inoculation. The starting tumor burden in the treatment and control groups was similar before treatment. For in vitro experiments, all samples were analyzed equally with no sub-sampling, and, therefore, there was no requirement for randomization. For in vivo experiments, tumor measurement by digital caliper was performed in a blinded manner. In vitro experiments were not performed in a blinded manner as the investigator needed to know the treatment groups in order to complete the study. Statistical analysis was performed using a two-tailed, unpaired t test, unless otherwise indicated in figure legends. Figure legends also denote that error bars indicate the mean ± SEM. GraphPad Prism software (version 8) and R v.3.6.0 were used for statistical calculations.
Extended Data
Supplementary Material
ACKNOWLEDGEMENTS
The authors would like to thank Mandy Trierweiler and Sylvia Zelenka-Wang for histological sample processing and immunohistochemistry as well as undergraduate student Kaelie Johnson for technical assistance. This work was supported by a Prostate Cancer Foundation (PCF) Challenge Award, NCI Prostate SPORE Grant P50CA186786, Department of Defense (DoD) PC130151P1 (N.N. and A.M.C.), and NIH grant GM131919 (D.J.K.). A.M.C. is an NCI Outstanding Investigator (R35CA231996), Howard Hughes Medical Institute Investigator, A. Alfred Taubman Scholar, and American Cancer Society Professor. Y.Q. and J.C.T. are supported by PCF Young Investigator Awards. L.X. is supported by a DoD Postdoctoral Award (W81XWH-16-1-0195). E.L.E. was supported by the Academy of Finland.
Footnotes
COMPETING INTERESTS
The University of Michigan has filed a disclosure on the findings based on this study. A.M.C. and Y.Q. are named as co-inventors on the disclosure. Esanik Therapeutics, Inc. licensed ESK981 from Teva Pharmaceuticals. A.M.C. is a co-founder and serves on the scientific advisory board of Esanik Therapeutics, Inc. Esanik Therapeutics or Teva Pharmaceuticals were not involved in the design or approval of this study, nor was this study funded by them. The remaining authors declare no competing interests.
Data availability
Raw RNA sequencing data are deposited at the NCBI Gene Expression Omnibus (GSE174644). Further information and requests for resources and reagents should be directed to the corresponding author. All requests for raw and analyzed data and materials will be promptly reviewed by the corresponding authors to verify if the request is subject to any intellectual property or confidentiality obligations. Any data and materials that can be shared will be released via a Material Transfer Agreement. Source data have been provided with this paper for Figs. 1-8 as well as Extended Data Figs. 1-10.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Raw RNA sequencing data are deposited at the NCBI Gene Expression Omnibus (GSE174644). Further information and requests for resources and reagents should be directed to the corresponding author. All requests for raw and analyzed data and materials will be promptly reviewed by the corresponding authors to verify if the request is subject to any intellectual property or confidentiality obligations. Any data and materials that can be shared will be released via a Material Transfer Agreement. Source data have been provided with this paper for Figs. 1-8 as well as Extended Data Figs. 1-10.