Abstract We have conducted systematic small interfering RNA (siRNA) lethality screening of the kinome and “druggable genome” in human myeloma cell lines (HMCL) to functionally generate a comprehensive map of critical genes and vulnerabilities in human myeloma tumors. KMS11 human myeloma cells were screened with both an 1800 oligo (639 gene) siRNA library targeting the kinome and with a 13,984 oligo (6,791 gene) library targeting the druggable genome in duplicate using optimized conditions that resulted in >95% transfection efficiency and <5% background cytotoxicity. siRNA were used at low concentration (13nM) to minimise off-target cellular effects. Each gene was initially screened with at least 2 distinct siRNA. Universally lethal and non-silencing siRNA were tested in parallel as controls. Viability was measured at 96 hours by ATP-dependent luminescence and was normalized to the mean and distribution of controls by the B-score method. Approximately 14% of kinome siRNA and 5.8% of druggable genome siRNA caused important reductions in HMCL viability (greater than three standard deviations from control samples treated with non-silencing siRNA), compared with an anticipated rate due to chance of only 0.135%. Short-listed kinome vulnerabilities were validated by repeat targeting in a second lethality screening experiment in KMS11 using a total of four independent siRNA per gene. Forty-two kinases were confirmed as critical for myeloma cell survival. Unsupervised pathway analysis indicates that approximately half are concentrated within established pathways involved in cytokine (VEGFR, FGFR3, IGFR/IL6R) signaling and regulation of cell cycle, apoptosis or metabolism. The role of other survival kinases in myeloma are novel. The selectivity of kinome vulnerabilities identified in KMS11 for myeloma cells versus other tissues was examined by parallel silencing of these targets in KMS11 and JJN3 myeloma cells and in non-myeloma 293 and A549 epithelial cells. The most lethal kinase targets in myeloma that simultaneously show experimental evidence of tumor selectivity include aurora kinase A (AURKA), G-protein receptor coupled kinase 6 (GRK6) and protein kinase N1 (PKN1). By gene expression analyses, PKN1 and GRK6 are both preferentially expressed in plasma cells, compared with an analysis of >50 somatic tissues in which they are absent or only weakly expressed. The extent to which the kinome vulnerabilities identified in KMS11 occur in other HMCL was assessed by tertiary siRNA screening and by lentiviral shRNA techniques. More than 75% of kinases vulnerable in KMS11 cells are recurrently vulnerable in other myeloma tumor lines. Secondary validation studies of all genomic vulnerabilities identified from the much larger siRNA lethality screen of the druggable genome in myeloma cells is ongoing, however, to date 134 genes have been validated as essential myeloma survival factors during primary screening by concordant lethality of 2/2 independent siRNA (compared with an expected rate due to chance of n<1 genes). Significantly, proteosome subunits and specific ubiquitin ligases number amongst the most potently lethal genomic vulnerabilities in KMS11. Overall, this attempt to systematically and functionally document all genetic vulnerabilities in myeloma provides a strong rational impetus for the development of novel therapies that optimally target susceptibilities inherent within myeloma tumors.
RNAi Screen of the Druggable Genome To Identify Modulators of Bortezomib in Myeloma.
Abstract Bortezomib and related proteasome inhibitors have profound pre-clinical and clinical activity in Multiple Myeloma (MM). However, the critical molecular target(s) modulated by proteosome inhibition remains unknown. The overall response rate to bortezomib in relapsed and refractory MM patients is consistently 35%–50%, suggesting specific molecular targets or resistance mechanisms are inherent in patients. None of the known effects of bortezomib has been shown to correlate with clinical responses in patients or to explain the unique sensitivity of MM (as opposed to other malignancies) to these reagents. Therefore, in this study, we have conducted a small interfering RNA (siRNA) screen of the druggable genome in human myeloma cells to identify genes that modulate sensitivity to bortezomib. KMS11 human myeloma cells were reverse transfected with 13,984 synthetic short interfering RNAs (siRNA) against each of 6992 druggable targets (2 siRNA/gene with a single-siRNA per well/384 well format). At 24 hours post transfection, bortezomib was added at IC10, 30, 60 and 90. Cell viability was measured by ATP-dependent luminescence assay 72 hours post drug treatment. The resulting data from primary screening was evaluated for multiple quality control metrics and found to exceed all expected performance parameters with >99% global transfection efficiency, <0.25 CV values across the dataset with minimal plate-to-plate and set-to-set variation observed. From analysis of the primary screening data, a core panel of 320 (4.6% of druggable targets in library) bortezomib sensitizers were identified. 187 (58%) of these were further confirmed in a secondary screening experiment by multiple (2 to 4) independent siRNA. Among these 187 genes (2.6% of the genes investigated), some known targets, such as proteasome subunits are evident. Other genes belonging to the same functional gene families (e.g. TNF receptor family, Ras family, kinases, oncogenes and transporter proteins) or functioning within the same network of signal transduction (e.g. NF-kB, Wnt and estrogen receptor pathways) are evident. Our primary screen also identified genes that attenuate bortezomib-induced cytotoxicity. Members in this group include genes implicated in the negative regulation of cell proliferation and survival, such as NF-kB inhibitors, JNK pathway activators, tumor suppressors, apoptosis inducers and phosphatases. These studies enable dissection of the molecular mechanism of bortezomib in myeloma cells and may serve to point to biomarkers for response prediction and novel chemotherapeutic combination therapies.
A Synthetic Lethality Druggable Genome RNAi Screen Identifies Genes Mediating Sensitivity To Lenalidomide In Multiple Myeloma Including RSK2
Abstract Immunomodulatory drugs (IMiDs) are widely used in the treatment of patients with Multiple Myeloma (MM) however, only 30% of relapsed MM patients respond to single agent therapy and most patients eventually develop drug resistance. The molecular target of IMiDs in MM is cereblon but other parallel pathways or downstream events which enhance or preclude drug responsiveness are unknown. We therefore conducted a genome scale small interfering RNA (siRNA) lethality study in MM in the presence of increasing concentrations of lenalidomide. Primary screening was performed in a single-siRNA-per-well format with the human druggable genome siRNA set V4 comprising four siRNAs targeting each of 6,992 genes (total 27968 siRNAs). Lenalidomide was added 24 hours post transfection and cell viability was measured by ATP-dependent luminescence at 144 hours after transfection. Primary screen data was rigorously evaluated for multiple quality control metrics and found to exceed all expected performance parameters with >98% global transfection efficiency, <0.25 CV values, and minimal plate-to-plate and set-to-set variations observed. Hit selection was performed by analysis of IC50 value shift in the presence of each testing siRNA compared with three different control siRNA oligos. 160 candidate genes that enhance lenalidomide sensitivity upon silencing (sensitizers) were selected and re-screened with four siRNA oligos targeting each gene. 50 genes were identified as reproducible lenalidomide sensitizers including three Peroxisome (PEX) family proteins (PEX1, PEX10 and PEX7) and seven RAB family proteins (RAB17, RAB1A, RAB26, RAB30, RAB36, RAB4A and RAB8A). Four kinase genes were also identified in sensitizer hits and two of these, I-Kappa-B Kinase-Alpha (IKK1 or CHUK) and ribosomal protein S6 kinase (RPS6KA3 or RSK2), encode proteins that associate with significance together with a phosphorylation dependent transcription factor (CREB1) in Toll signaling pathways (p-value 0.0068). RSK2 is a serine/threonine-protein kinase that acts downstream of oncogenic FGFR3 mediated signaling and is phosphorylated by ERK (MAPK1/ERK2 and MAPK3/ERK1 signaling) during hematopoietic transformation. Phosphorylated RSK2 was previously reported to be frequently expressed in myeloma cell lines and primary myeloma cells. Using lentiviral shRNA expression, we demonstrated that knockdown of RSK2 in three genetically variable MM cell lines induced cyctocytoxiticy and consistently sensitized to lenalidomide. Two selective small molecular inhibitors of RSK2 (SL 0101-1 and BI-D1870) were then demonstrated to synergize with lenalidomide to induce myeloma cell cytotoxicixity. To further understand the mechanism underlying sensitization, immunoblotting analysis was performed to look at downstream changes after either RSK2 knockdown or RSK2 inhibition by BI-D1870. We found that both RSK2 knockdown and BI-D1870 treatment, mimicking lenalidomide treatment or cereblon inhibition, induced downregulation of both IRF4 and MYC in MM cells. The combination of lenalidomide and BI-D1870 not only produced a substantial synergistic effect inducing MM cytotoxicity, but also demonstrated a significant enhancement of downregulation of IRF4 and MYC. Forced overexpression of RSK2 attenuated the synergistic effects of lenalidomide and BI-D1870. In summary, our high throughput screen identified multiple gene targets that associate with increasing sensitivity to IMiDs in MM cells, of which, RSK2 was further validated by both shRNA silencing and specific inhibitors as an effective target to cooperate with IMiDs to induce myeloma cytotoxicity. Clinical studies of RSK2 inhibition in concert with IMiD (cereblon inhibitor) therapy would be appropriate. Disclosures: Stewart: Onyx: Consultancy, Research Funding; Millennium: Honoraria, Research Funding; Celgene: Honoraria; BMS: Honoraria.
RNAi Screen of the Druggable Genome Identifies Modulators of Proteasome Inhibitor Sensitivity in Myeloma Including CDK5.
Abstract Abstract 602 The molecular target(s) which co-operate with proteasome inhibition in inducing drug sensitivity or resistance in Multiple Myeloma (MM) remain unknown. We therefore conducted a genome scale small interfering RNA (siRNA) lethality study in KMS11 MM cells in the presence or absence of bortezomib without regard to pre-conceived mechanistic notions. Primary screening was performed in a single-siRNA-per-well format with the human druggable genome siRNA set V4 comprising 13,984 siRNA targeting 6,992 genes and comprising two RNAi per gene. siRNA were transfected at low concentration (13nM) to minimize off-target effects using conditions that resulted in transfection of >95% cells and <5% background cytotoxicity. Bortezomib was added (at the IC10, 25, 70 and 90) 24 hours post transfection. After 96 hours (72 hours after bortezomib), viability was measured by ATP-dependent luminescence. In primary screening 320 candidate bortezomib sensitizing genes were identified and rescreened with four siRNA oligos each gene. 57 of the top sensitizer hits were selected for which at least two distinct siRNA decreased the EC50 by 2 standard deviations from cells treated with control siRNAs. By cross referencing gene expression profile (GEP) data of KMS11, we furthered pared the list to 37 plausibly expressed targets (0.5% of those genes originally screened) as bortezomib sensitizers. After silencing, 50% of these 37 genes also sensitized the lung cancer cell line A549 to bortezomib. After further parsing of genes which also modulated the sensitivity of MM to Melphalan (non specific chemosensitizers), 34 genes remained: The strongest sensitizers to bortezomib were the proteasome subunits PSMA5, PSMB2, PSMB3, PSMB7 but included less obvious targets such as BAZ1B, CDK5, CDC42SE2, MDM4, NME7, TFE3, TNFAIP3, TNK1, TOP1, VAMP2 and YY1 were also identified. Of these, the most potent synergetic effects were observed with siRNAs against the proteasome subunits and against cyclin dependent kinase 5 (CDK5), which caused the greatest shift in EC50. CDK5 is of particular interest as a therapeutic target as it is expressed at high levels in MM and neural tissues but has low expression in other organs. Using viral shRNA expression, silencing CDK5 consistently increased the sensitivity of genetically variable MM cell lines (n=5) to all of the proteasome inhibitors tested: bortezomib, carfilzomib and PR047, and the effect could be at least partially rescued by overexpression of an RNAi resistant CDK5. To explore therapeutic relevance the small molecule CDK5 inhibitor, Roscovitin, was shown to be synergistic or additive with bortezomib in both MM cell lines and primary patient samples. Gene expression profiling was then performed to seek an explanation for the CDK5 sensitization effect and regulation of a proteasome subunit PSMB5 by CDK5 was identified as a probable route to sensitization. In summary inhibition of the existing proteasome either directly by suppression of proteasome subunits, or indirectly by suppression of modulators such as CDK5 appears to confer the greatest sensitization effect suggesting that combinations of bortezomib with other unique proteasome inhibitor drugs or combinations with inhibitors of CDK5 is a logical avenue for clinical exploration. Disclosures: No relevant conflicts of interest to declare.
Phosphatase RNA-Interference Lethality Screening with Suberoylanilide Hyrdoxamic Acid In Myeloid Cell Lines
Abstract Abstract 1851 Background: In previous work we performed RNAi sensitizer screening of epigenetic modulation with 5-Azacytidine and the human kinome. Few kinase hits were identified. Therefore we asked if phosphatases might be involved in modulating epigenetic therapies. Thus in order to identify potentiators of the histone deacetylase inhibitor suberoylanilide hydroxamic acid (SAHA) we performed high-throughput RNA-interference (RNAi) lethality screening using the myeloid cell lines HEL, THP-1 and TF-1 in combination with SAHA. Methods: A small-interfering RNA (siRNA) library targeting 206 phosphatases with 4 sequences per target gene was used for this study. siRNA were transfected in a single-siRNA-per-well format in 384-well plates using commercial lipid-based transfection reagents. Non-silencing siRNA were included as negative controls to access non-specific siRNA toxicity and universal lethal siRNA were included as positive controls to indirectly assess functional transfection efficiency. After a 96 hour incubation period, cell viability/proliferation was measured with Cell Titer Glo. For analysis of screen data, log2 values of (SAHA + siRNA treatment/siRNA treatment only) were calculated. Potentiation was defined as two standard deviations from the median log2 ratio of all siRNA (excluding positive controls) on a plate-by-plate basis. Hits were defined as ≥ 2/4 siRNA sequences meeting potentiation criteria. Results: Transfection efficiency was 95, 90 and 70% for HEL, THP-1 and TF-1, respectively. All three cell lines were similarly sensitive to SAHA with IC50 values of 0.3, 0.4 and 0.6 μM for HEL, THP-1 and TF-1, respectively. Resulting SAHA concentrations for screens were between the IC5 to IC30. For THP-1, 5 phosphatases qualified according to the hit selection criteria applied indicating strong potentiation to SAHA. Of these 5 hits, 3 did not exhibit strong reductions in viability with siRNA alone, suggesting a SAHA-dependent relationship. For HEL and TF-1, although no phosphatases met the strict selection cutoff, there were several phosphatases exhibiting potentiation, suggesting biological relevance. The primary screening data and preliminary analysis will be validated with rigorous secondary experimentation and top hits for all cell lines will be investigated and advanced. Conclusions: While there are numerous kinase inhibitors in the clinic and in preclinical development, phosphatases are much less explored as therapeutic targets. Validated potentiating targets from this RNAi screen can facilitate the development of rational SAHA combination therapies. Disclosures: No relevant conflicts of interest to declare.
Abstract Abstract 180 Background: Proliferative signals in myeloid malignancies/leukemias are often driven by kinase activating events. Phosphatases often counteract these effects, though some phosphatases are oncogenes as well. To characterize these opposing signaling networks and build a loss of function intervention map, we performed the first phosphatome RNAi screen in conjunction with a kinome RNAi screen in myeloid leukemia cells. Methods: Four myeloid cell lines, TF-1, THP-1, HEL and MDS-L were incubated with siRNA against 206 phosphatases and 711 kinases with 4 different siRNA sequences (4x) per gene. After 96 hours, viability/proliferation was assessed by luminescence with Cell Titer Glo. Tranfection efficacy was determined by the ratio of the median of an universal lethal control vs. all siRNA. Normalization was done calculating the percent of sample median according to % proliferation = [siRNA signal × 100] / [median all siRNA signals]. Hits were defined using the median absolute deviation (MAD) of > 2 standard deviation above or below the individual siRNA signal (Birmingham et al, Nature Methods 2009) for at least 2 of 4 siRNA per gene. Results: Transfection efficacy was around 70, 95, 95 and 80 percent for TF-1, THP-1, HEL and MDS-L cells respectively. In TF-1, five kinases met hit selection criteria reducing proliferation whereas surprisingly no phosphatase was a hit. In THP-1, five kinases each reduced or increased proliferation respectively and only one phosphatase was a hit altogether increasing proliferation upon siRNA silencing. A different trend was seen in HEL cells: siRNA silencing of 16 kinases decreased and silencing of one kinase increased proliferation. Interestingly, inhibition of six phosphatases reduced proliferation in HEL whereas none increased proliferation. In MDS-L cells, siRNA inhibition of 9 kinases reduced and of 1 kinases increased viability respectively; inhibition of two phosphatases increased and of one decreased viability. The most common universal hit was PLK1 across 3 of 4 cell lines. No phosphatase was found to be a common hit across several lines. Conclusion: RNAi kinome-phosphatome profiling of 917 phosphatases and kinases reveals distinct signaling patterns among representative myeloid leukemia cell lines. Some cell lines, like HEL, which harbors a Jak2 mutation, are possibly more driven by kinase activating events but also show putative phosphatases as therapeutic targets. Candidate kinases whose siRNA silencing reduces viability/proliferation may uncover synthetic lethal interactions between known mutational and genomic abnormalities. The identified siRNA hits are potential novel targets for drug development. This combined functional genomics approach also highlights the complexity of signaling and that inhibition of some kinases can accelerate growth at least in vitro, e.g. inhibition of PIM3 in THP-1 cells. Phosphatases are an emerging network of cellular regulators with occasional oncogenic potential. A “loss-of-phosphatome/ase” RNAi approach is a fast way to gain new insights into the complex and little researched field. Disclosures: No relevant conflicts of interest to declare.
Abstract 4910: Development of an antagonist to the TWEAK-Fn14 ligand-receptor interaction with enhanced efficacy/potency in glioblastoma cells
Abstract Glioblastoma multiforme (GBM) remains the most common and deadly primary brain tumor with minimal advances in therapeutic development for pharmacological treatment. Tumor resection followed by temozolomide (TMZ) and radiotherapy adds months to survival; however, tumor recurrence usually occurs. The fibroblast growth factor-inducible 14 (Fn14) receptor has been shown to be up-regulated in the GBM cells left behind after surgery and contributes to an invasive and pro-survival phenotype, providing a desirable molecule to target after removal of the primary tumor. Previously, L524-0366 was reported by our lab to be the first antagonist of Fn14 signaling; however, minimal efficacy/potency has limited this drug from progressing from a useful research tool to preclinical studies. Structure activity relationship (SAR) studies using the parent L524-0366 compound gave rise to K78, which was found to bind to Fn14 with enhanced affinity, while showing no binding to the structurally-related TNFα receptor. Furthermore, K78 was able to abate the downstream signaling effects initiated by the Fn14 ligand, tumor necrosis factor-like weak inducer of apoptosis (TWEAK), as well as sensitize GBM cells to the cytotoxic effects of TMZ. TWEAK-induced cellular migration was also mitigated with co-treatment of K78 in GBM cells, compared to a vehicle control. It is anticipated that further development of Fn14 antagonists will be of great importance for the advancement of GBM patient treatment and warrant further investigation as primary and combination therapy, especially for the prevention of recurrent disease. Citation Format: Bryan Harder, Chris Sereduk, Harshil Dhruv, Nghia Millard, Anthony Kim, Jeffrey Winkles, Graeme Woodworth, Holly Yin, Nhan L. Tran. Development of an antagonist to the TWEAK-Fn14 ligand-receptor interaction with enhanced efficacy/potency in glioblastoma cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4910.
Identification of aurintricarboxylic acid as a selective inhibitor of the TWEAK-Fn14 signaling pathway in glioblastoma cells
Abstract Deregulation of the TWEAK-Fn14 signaling pathway is observed in many diseases including inflammation, autoimmune diseases, and cancer, notably glioblastoma. Activation of Fn14 signaling by TWEAK binding triggers glioma cell invasion and survival and therefore represents an attractive pathway for therapeutic intervention. Based on structural studies of the TWEAK-binding cysteine rich domain of Fn14, several homology models of TWEAK were built to investigate plausible modes of TWEAK-Fn14 interaction. Two promising models, centered on different anchoring residues of TWEAK [Tyrosine 176 (Y176) and Tryptophan 231 (W231)], were prioritized using a data-driven strategy. Site-directed mutagenesis of TWEAK at Y176, but not W231, resulted in the loss of TWEAK binding to Fn14 substantiating Y176 as the anchoring residue. Importantly, mutation of TWEAK at Y176 did not disrupt TWEAK trimerization, but failed to induce Fn14 mediated nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling. The validated structural models were utilized in a virtual screen to design a targeted library of small molecules predicted to disrupt the TWEAK-Fn14 interaction. 129 small molecules were screened iteratively, with identification of molecules producing up to 37% inhibition of TWEAK-Fn14 binding. One specific compound, L524-0366 binds specifically to the Fn14 receptor and disrupt TWEAK-Fn14 interaction. Treatment of L524-0366 suppresses TWEAK-induced cell migration and survival in glioblastoma cells. In summary, we present a data-driven in silico study revealing key structural elements of the TWEAK-Fn14 interaction, followed by experimental validation, serving as a guide for the design of small molecule inhibitors of the TWEAK-Fn14 ligand-receptor interaction. Our results provide the foundation for further exploration utilizing L524-0366 as a small molecule inhibitor to the TWEAK-Fn14 signaling axis. Citation Format: Harshil D. Dhruv, Joseph C. Loftus, Pooja Narang, Joachim L. Petit, Donald Chow, Holly Yin, Michael Berens, Nathalie Meurice, Nhan L. Tran. Identification and characterization of L524-0366 as a small molecule inhibitor that disrupt TWEAK-Fn14 signaling in glioblastoma. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1780. doi:10.1158/1538-7445.AM2014-1780